We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

At Bishop Fox, security isn't just a job - it's our passion. As leaders in continuous offensive security and penetration testing, we deliver world-class customer experiences. Trusted by over a quarter of the Fortune 100, half of the Fortune 10, and top global media companies, we help safeguard digital landscapes. Our Cosmos platform, honored as Best Emerging Technology by SC Media, exemplifies our commitment to innovation.   

Joining Bishop Fox means collaborating with a curious and dedicated team. You'll tackle complex challenges for some of the world's most recognized organizations, securing their networks against real-world threats. With nearly 20 years of industry contributions - including 16 open-source tools and 50 security advisories published in the past five years - we're committed to making the digital world safer.    

Given our exceptional growth, we are expanding and hiring a Pen Tester to join us on this exciting journey. We’re looking for a talented, experienced professional hacker to help us secure some of the world’s most complex software and sophisticated technologies. You’ll be working alongside our US and internationally-based teams supporting clients across multiple industries.                          

Who Are You and What You’ll Do  

You’re a cybersecurity consultant with a strong offensive security mindset and a passion for understanding how modern applications, cloud platforms, APIs, and emerging technologies operate at a deep technical level. You enjoy uncovering security weaknesses, thinking creatively about attack paths, and helping organizations solve complex security challenges through practical, risk-focused assessments. 

At Bishop Fox, you’ll work on a wide variety of security engagements including Cloud Security Assessments, Mobile Application Security Testing, Hybrid Application Assessments (HAA), and AI/LLM Security Assessments. You’ll evaluate modern applications and distributed systems across cloud-native, mobile, backend, and AI-enabled environments. 

Your responsibilities will include performing hands-on security testing, analyzing application behavior, reviewing source code, identifying realistic exploitation scenarios, and validating security controls across modern architectures. You’ll work closely with clients and internal teams to deliver high-quality technical assessments and actionable remediation guidance. 

As a consultant, you’ll contribute throughout the full engagement lifecycle from scoping and test planning to execution, reporting, and client presentations. Success in this role requires strong technical depth, structured testing methodologies, effective communication skills, and the ability to adapt quickly to new technologies and environments. 

Your Experience  

• 4+ years of experience in application security assessments, penetration testing, or offensive security engagements 

• Strong understanding of application security fundamentals, modern attack techniques, and common vulnerabilities affecting web applications, APIs, mobile applications, and cloud-native environments 

• Hands-on experience testing REST APIs, including authentication/authorization flaws, IDORs, injection vulnerabilities, session management issues, and business logic flaws 

• Strength with AWS services and cloud security concepts, including IAM, STS, S3, Lambda, API Gateway, CloudTrail, CloudWatch, and secure communication patterns such as SigV4 

• Solid understanding of networking and web fundamentals, including HTTP/HTTPS, TCP/IP, DNS, API communication flows, cookies, headers, and related concepts 

• Experience reviewing source code for security issues in Java, C#, and Python applications 

• Knowledge of secure coding principles and common risks such as SSRF, insecure deserialization, injection vulnerabilities, sensitive data exposure, and insecure cloud integrations 

• Understanding of SDLC, CI/CD pipelines, and secure development practices 

• Experience using security assessment and code review tools such as Burp Suite, Semgrep, Git, AWS CLI, and API testing/debugging tools 

• Comfortable working across Linux, Windows, and macOS environments 

• Experience or strong interest in AI/LLM security, including prompt injection, RAG risks, insecure integrations, excessive permissions, and the OWASP Top 10 for LLM Applications 

• Strong written and verbal communication skills, with the ability to deliver clear, actionable findings and communicate technical risks to both technical and executive stakeholders 

• Experience following structured testing methodologies, documentation standards, and validation/retesting workflows 

• Strong collaboration and interpersonal skills when working with security, engineering, and client teams 

• Ability to manage multiple concurrent engagements while maintaining high-quality deliverables and attention to detail 

• Curious, adaptable, and professional mindset with a passion for continuous learning and emerging security trends 

Nice to Have 

• Exposure to hardware or embedded device security testing 

• Familiarity with cloud-native and serverless architectures 

• Consulting or client-facing experience 

• Relevant security certifications or hands-on research contributions 

Why Bishop Fox    

At Bishop Fox, we're driven by a simple mission: deliver exceptional quality to our clients, foster a vibrant and fulfilling environment for our team, and champion excellence within our industry. Our core values, which we live by every day, are:   

• Be Excellent to Each Other  

• Do the Right Thing  

• Do What You’ll Say You’ll Do  

• Get Better Together  

• Give a Sh*t   

At Bishop Fox, we're committed to providing benefits that support your well-being and professional growth. Here's a glimpse of what we offer:   

• Generous Time Off and Company-Wide Holidays  

• Team Events and International Travel Opportunities  

• Work From Home Support  

• Training Budget  

• Saving Fund  

• Food Coupons  

• Health and Wellbeing programs  

This position is not eligible for visa sponsorship. Applicants must be authorized to work in Mexico for the duration of employment without sponsorship.  

Bishop Fox is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  All new hires must pass a background check as a condition of employment. 

Interested? Apply today! 

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Hybrid position to work 4 days per month at the client's office in Mexico City or GDL

ID: 19966

Essential Skills

Exp: 7-10years hands on application development, L3 and/or L2+ who is ready to pick up L3 part.
Having Advanced Java/j2ee experience (Rest api, servlet, JavaScript/html, jsp, jdbc, struts, Hibernate, Spring)
Mid- to- Advanced experience in AWS Cloud (EC2/Lambda, Amazon CloudWatch, IAM, S3, RDS & DynamoDB/MongoDB) in to Support function.
Good exposure using AI models in support function.
Advanced level experience to work with multi server/Tier: Tomcat, Jbosss, WebSphere and Weblogic servers.
Advanced hands-on experience in Database (DB2, Oracle and Sybase.. etc)
Mid- to- Advanced Unix and scripting (shell/perl.. etc)
Good hands-on in understanding and making changes in shell/perl scripts
Having good experience in job scheduler monitoring tools (Autosys, procmon, crontab.. etc)
Advanced hands on experience IDE’s like Eclipse, NetBeans.
Mid – to Advanced experience on using Git, Jenkins and other repo/deployable
Having mid to advanced experience in Support model (L2+/L3)
Good exposure to production tooling (ticking/monitoring) like Jira, ServiceNow and processes (familiar with Incident/problem) and change mgnt
Good experience in making the code (Java, Unix, DB) changes in production and able to run
Certifications: AWS certifications (preferred)

- Bachelor’s degree in computer science, Information Technology, or related field.
- 5+ years of experience in L3 support or similar roles.
- Strong proficiency in JAVA programming and application support.
- Good Troubleshooting skills in analyzing System and Application logs and working experience of support function in distributed systems.
- Proficiency with Linux-based operating system, commands, and utilities.
- Strong ability to debug application issues to identify the underlying root cause
- Good communication skills with ability to articulate the technical and functional aspects of a production problem to help drive solutions with App Dev teams.

Preferred:
- Experience with cloud platforms (AWS).
- Familiarity with CI/CD pipelines and DevOps practices.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Hybrid position to work 4 days per month at the client's office in Mexico City or GDL

ID: 19964

Responsibilities and Duties

•  Investigate and drive support resolution with senior external clients, internal stakeholders and other Marquee engineering teams. Serve as point of escalation for support issues from Marquee Helpdesk (L1)
•  Providing mentorship and guidance to junior team members to ensure successful resolution of issues
•  Develop and mature the SRE strategy to ensure scalability, reliability, and performance of our platforms.
•  Automate manual processes to increase efficiency and reduce risk.
•  Troubleshoot and resolve complex technical issues, collaborating with cross-functional teams as needed.
•  Work closely with the engineering team to drive resolution of client issues.
•  participate in on-call rotations and respond to incidents as needed.
•  Continuously improve processes and systems to increase reliability and reduce risk.
•  Influence and suggest improvements on roadmap for enhancing Marquee client experience.
•  Create documentation /runbooks and code snippets to share with clients and internal engineering teams

Key criteria:
•  Must be comfortable coding in Java and or Python, debugging API calls, writing quality-of-life snippets for clients, creating scripts for debug tooling.
•  Must have a basic knowledge of UI and API integration.
•  Must be presentable to clients and a clear, empathetic communicator able to talk to clients and stakeholders with confidence.
•  Must be willing to execute on support issues while also building out the function and automating resolution of repeat issues.

Mandatory Skills: Java or any object-oriented programming language, Linux, SQL (between Linux and SQL, candidate should be strong in at least one of them)

Basic Qualifications (Required skills)

· Bachelor’s degree in information technology, Computer Information Systems, Computer Science, or a related field.
· 3 to 5 years of work experience on SDLC/Devops, LINUX system platforms.
· Good Linux Scripting/Development skills - JAVA, Python (any).
· Good knowledge in technologies like Autosys/Job scheduling systems like CRON, NIS, Apache, Tomcat, any RDBMS like DB/ MS-SQL/Oracle/Sybase, Public/Private Cloud.
· Good Knowledge of SDLC, CVS, SVN, GIT, Maven, GITLAB, Docker and Jenkins.
· Knowledge of Devops dependencies - code review, builds, repositories, packages, distribution.
· Knowledge of config management - chef, puppet, ansible and related languages . groovy, go, json, yml, ini (any)
· Strong analytical and troubleshooting capabilities.
· Excellent soft skills & Communication (Verbal and Written) .
· Must be willing to work in rotational shifts.
· Ability to Multi task in high paced environment.
· Problem Solver and To-Do attitude, ability to face technical challenges and drive solution.

Preferred Qualifications (Nice to have)

· Having worked in environment supporting 10000+ servers a plus.
· Multiple Application Support Experience a plus.
· ITIL and ITSM experience a plus.
· Global clients facing Support team experience a plus.
· Able to work within a Global team, prior experience a plus .
· Prior experience with Financial Institution a plus.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Company Background

Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.

Project Description

AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.

Technologies

• Python
• FastAPI
• AWS
• Docker
• Kubernetes
• CI/CD
• LLM / Generative AI
• vLLM
• Kafka / RabbitMQ

What You'll Do

• Design and implement a rules engine platform as part of the AI microservices ecosystem;
• Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
• Develop robust, maintainable, and scalable Python microservices;
• Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
• Work with containerization (Docker) and orchestration (Kubernetes) for deployment.

Job Requirements

• 4+ years of experience with Python;
• Experience building rules engines or similar business logic platforms;
• Experience with FastAPI or similar frameworks;
• Experience with Docker, Kubernetes, and CI/CD pipelines;
• Experience working with AWS (EKS, SQS, S3, EC2, MSK);
• Strong software engineering fundamentals and clean code practices;
• Basic experience with LLMs and tools like vLLM;
• Strong communication skills;
• English proficiency at B2 level or higher;

Nice to Have:

• Background in AI/ML platforms or agent frameworks;
• Familiarity with messaging systems (RabbitMQ, Kafka);
• Understanding of concurrent programming;
• Exposure to Amazon Bedrock;
• Familiarity with observability tools (OpenTelemetry, DataDog);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information

Experience: +5 years

Job Mode: Full-time

Work Mode: Remote

ID: 21306

Responsibilities and Duties

Co-design, prepare and deliver KPIs, helping commercial areas and sales organization to measure they performance interconnecting available data with a well designed KPIs strategy.

1. Design and develop requested KPIs from different areas / countries
2. Define and implement initiatives to improve the information homologation and standardization
3. Propose and implement new opportunities to obtain valuable information that can improve the customer experience.

Position challenges: Manage and coordinate several teams from different countries, cultures, backgrounds and expectations Maintain a constantly evolving model with all project's information

Qualifications and Skills

• Academic Background: Analytics Bachelor Degree or similar, +2 years in digital adoption areas or similar
• Areas of expertise: Commercial, Customer Experience, Process & IT, Analytics, Digital tools Technical
• Skills required by role: Software skills for data collection and presentation, Advanced Excel, Statistical programming knowledge, Ability to articulate data-driven decisions, ability to summarize and present data, well versed in the latest innovations and trends in the market related to data manipulation product and services. SQL / Snowflake is a must
• Hard Skills: Data Modeling – Snowflake DB (SQL), Excel, SQL
• Soft Skills: Decision making, Problem Solving, Resilience & Adaptability, Strategic Thinking & Execution, Teamwork & Collaboration, Time Management

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 21307

Job Summary

We are seeking a versatile Senior Fullstack Java Developer who can contribute across both backend and UI development. This role is ideal for an engineer with strong backend expertise in Java who is also comfortable working on frontend components and collaborating with design teams when needed.

The ideal candidate does not need to be a dedicated UI expert, but should be capable of supporting and implementing user interface work as part of a fullstack engineering role. Experience or familiarity with Figma is highly desirable to help translate designs into functional applications and collaborate effectively with product and design teams.

Responsibilities and Duties

• Design, develop, and maintain scalable fullstack applications with a primary focus on Java backend development.
• Build and enhance frontend/UI components as needed to support product initiatives.
• Collaborate with product managers, designers, and engineers to deliver high-quality user experiences.
• Work with Figma designs and mockups to implement responsive and functional interfaces.
• Develop and maintain RESTful APIs and backend services.
• Participate in architecture discussions, technical design reviews, and code reviews.
• Troubleshoot and resolve issues across both backend and frontend layers.
• Ensure code quality, performance, scalability, and maintainability.
• Contribute to CI/CD processes, testing strategies, and deployment workflows.
• Mentor junior developers and promote engineering best practices.

Qualifications and Skills

• 5–8+ years of experience in software engineering or fullstack development.
• Strong hands-on experience with:
  • Java and modern backend frameworks (Spring Boot preferred)
  • Frontend technologies such as JavaScript/TypeScript, React, Angular, or similar
• Experience developing and consuming RESTful APIs.
• Strong understanding of fullstack application architecture.
• Ability to contribute to both backend and UI work as needed.
• Familiarity with responsive design and frontend best practices.
• Experience with version control systems (Git).
• Strong problem-solving and debugging skills.

Desirable Experience

• Experience or familiarity with Figma for collaborating with design teams and implementing UI designs.
• Exposure to modern UI/UX workflows and component-based design systems.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with containerization tools such as Docker or Kubernetes.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

#LI-KG1 #LI-REMOTE

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Role

In 2026, Orium is investing in AI and automation to improve how SG&A functions operate across the organization.

Our goal is to build agentic systems that support real human decision-making — including a unified entry point and two-way workflows that allow agents, humans, and systems to interact reliably. We’re approaching this work intentionally, with strong foundations around trust, escalation, and human judgment.

We’ve completed early experimentation through pilots and demos, and we’re now looking for someone to help turn that learning into durable, production-ready capabilities.

This is a contract role focused on hands-on execution with strong technical ownership. As a Senior AI Systems Engineer you’ll work hands-on to design and build the technical foundations of these systems, partnering closely with internal stakeholders to translate evolving needs into reliable, scalable agentic workflows. The focus of this engagement is to accelerate the build-out of core agentic capabilities and to establish strong technical foundations over a defined period.

Role Details:

• Type: Contract (Part-Time)
• Duration: ~16 weeks
• Expected Commitment: ~20 hours per week
• Potential for extension or future engagement based on outcomes

Key Responsibilities

Agentic System Development

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
• Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
• Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
• Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.

Systemization & Reliability

• Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
• Help evolve early implementations into more robust, maintainable, and production-ready systems.
• Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
• Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.

AI & Automation Craft

• Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
• Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
• Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
• Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Skills & Experience

• Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
• Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
• Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
• Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
• Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
• Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
• Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
• Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Is the Role a Fit for You?

You’ll be a strong fit for this role if you:

• Think with a product mindset, not a ticket mindset. You take the time to understand stakeholder needs and real-world workflows before building solutions.
• Are comfortable working in ambiguity. You can take rough ideas or early prototypes and shape them into clear, working systems.
• Think in systems. You naturally connect tools, people, and processes into cohesive, scalable workflows.
• Take ownership and drive outcomes. You define the path forward and see things through to production, not just implementation.
• Balance speed with sound judgment. You move quickly while being thoughtful about reliability, failure modes, and human impact, especially when working with AI systems.

Compensation and Hiring Transparency 

• Expected Compensation (Mexico): Compensation will be offered in MXN, aligned with local market benchmarks and the employment model. Final compensation will consider experience, skills, location, internal equity, and business needs.
• Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.
• Vacancy Status: This posting is for an existing vacancy we are actively hiring for.

Committed to an Inclusive Workplace

We are committed to fostering an inclusive and accessible workplace. We provide reasonable accommodations throughout the hiring process in accordance with applicable local laws. If you require accommodations, we will work with you to meet your needs.

Committed to Social and Environmental Stewardship

Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All employees are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.

#LI-Remote

About the Role

In 2026, Orium is investing in AI and automation to improve how SG&A functions operate across the organization.

Our goal is to build agentic systems that support real human decision-making — including a unified entry point and two-way workflows that allow agents, humans, and systems to interact reliably. We’re approaching this work intentionally, with strong foundations around trust, escalation, and human judgment.

We’ve completed early experimentation through pilots and demos, and we’re now looking for someone to help turn that learning into durable, production-ready capabilities.

This is a contract role focused on hands-on execution with strong technical ownership. As a Senior AI Systems Engineer you’ll work hands-on to design and build the technical foundations of these systems, partnering closely with internal stakeholders to translate evolving needs into reliable, scalable agentic workflows. The focus of this engagement is to accelerate the build-out of core agentic capabilities and to establish strong technical foundations over a defined period.

Role Details:

• Type: Contract (Part-Time)
• Duration: ~16 weeks
• Expected Commitment: ~20 hours per week
• Potential for extension or future engagement based on outcomes

Key Responsibilities

Agentic System Development

• Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
• Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
• Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
• Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.

Systemization & Reliability

• Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
• Help evolve early implementations into more robust, maintainable, and production-ready systems.
• Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
• Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.

AI & Automation Craft

• Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
• Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
• Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
• Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Skills & Experience

• Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
• Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
• Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
• Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
• Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
• Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
• Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
• Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Is the Role a Fit for You?

You’ll be a strong fit for this role if you:

• Think with a product mindset, not a ticket mindset. You take the time to understand stakeholder needs and real-world workflows before building solutions.
• Are comfortable working in ambiguity. You can take rough ideas or early prototypes and shape them into clear, working systems.
• Think in systems. You naturally connect tools, people, and processes into cohesive, scalable workflows.
• Take ownership and drive outcomes. You define the path forward and see things through to production, not just implementation.
• Balance speed with sound judgment. You move quickly while being thoughtful about reliability, failure modes, and human impact, especially when working with AI systems.

Compensation and Hiring Transparency 

• Compensation: Contract rates are determined based on experience, engagement scope, duration, and time commitment. Rate discussions will take place during initial conversations.
• Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.

Committed to an Inclusive Workplace

We are committed to fostering an inclusive and accessible environment as we build a workforce that reflects the diversity of the community in which we live, including those with disabilities. We are dedicated to providing accommodations in all parts of the hiring process in accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. If you require any accommodation, we will work with you to meet your needs.

Committed to Social and Environmental Stewardship

Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All individuals engaged by Orium are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.

#LI-Remote

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Description

We are looking for a Software Engineer to join our Design Systems team who will help define and build the next generation of how designers and engineers at Dropbox create products, spanning UI infrastructure, design systems, and AI-native development workflows. You will evolve our design system, build intelligent tooling, and integrate AI agents into the design-to-code lifecycle to improve speed, quality, and consistency.

This role blends foundational front-end engineering with AI-assisted and agent-driven workflows. You will work on scalable component architecture, design system governance, AI-powered developer tooling, and automation of design and engineering handoffs. Your work will directly influence how products are built across Dropbox.

You will play a crucial part in shaping how AI transforms product development. You will gain deep exposure to senior leadership, contribute to high-impact platform investments, and help define new ways of working at the intersection of design, engineering, and machine intelligence.

We are looking for a tinkerer at heart, someone who experiments, iterates, and pushes beyond conventional solutions. You approach emerging technologies, particularly AI and automation, as practical tools to reimagine workflows and unlock new capabilities. You bring curiosity, resilience, and a bias toward action, with the discipline to turn ambiguous ideas into production-ready systems others can rely on.

Responsibilities

• Develop, maintain, and evolve UI components and primitives that power Dropbox’s design system, enabling scalable and consistent product development.
• Design and build AI-powered tooling and agent-driven workflows that accelerate design-to-code processes and improve developer productivity.
• Partner closely with designers to translate design intent into high-quality, reusable code, while also shaping how AI can assist or automate parts of this workflow.
• Contribute to the architecture and strategy of AI-native UX development, including the integration of LLMs, agents, and automation into internal tooling.
• Prototype and productionize new concepts that explore the future of design systems.
• Ensure accessibility and inclusivity by embedding WCAG standards and best practices into both components and AI-assisted workflows.
• Write clear, scalable documentation for both human and AI consumers (e.g., enabling agents to effectively use the design system).
• Collaborate in code reviews, design critiques, and technical discussions to continuously raise the quality bar.
• Troubleshoot and resolve issues from internal teams, improving system reliability and usability.
• Drive experimentation and evaluation of emerging AI technologies, translating insights into practical improvements in tooling and workflows.

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of experience in front-end development, including experience contributing to or maintaining a design system or shared UI platform.
• Strong proficiency in HTML, CSS, and JavaScript, with deep experience in modern frameworks (e.g., React) and component-driven development.
• Demonstrated experience building scalable, maintainable front-end architecture for complex applications.
• Hands-on experience integrating or building with AI/ML-powered tools (e.g., LLM APIs, agent frameworks, or automation pipelines) in a development workflow.
• Solid understanding of accessibility standards (WCAG, ARIA) and how to implement them in reusable systems.
• Proven ability to collaborate effectively with cross-functional partners (design, product, engineering) and communicate technical concepts clearly.

Preferred Qualifications

• Experience designing or building AI-native developer tools, agent-based systems, or generative UI workflows.
• Track record of contributing to large-scale design systems or platform teams in fast-paced environments.
• Familiarity with prompt engineering, evaluation of LLM outputs, or designing systems that leverage AI for code generation or transformation.
• Experience with CI/CD pipelines, package publishing, and tooling that supports scalable design system distribution.
• Strong understanding of testing strategies (unit, visual, integration) for UI systems and component libraries.

•  

  • Mobiik es una empresa de soluciones digitales y tecnológicas que desarrolla soluciones eficientes para sus clientes. 💡 Creemos en transformar organizaciones a través de la tecnología, la innovación y el pensamiento creativo. 💻🚀 Los equipos remotos de Mobiik trabajan sin límites, barreras ni fronteras para ayudar a sus clientes a alcanzar sus objetivos. 🌐 La empresa busca construir equipos de profesionales que piensen fuera de la caja y entreguen resultados. 🏆

     

    Descripción del Rol

     

     🤖 El Ingeniero de IA será responsable de desarrollar e implementar modelos, algoritmos y sistemas de inteligencia artificial. 💡 Trabajarán con otros miembros del equipo para identificar los requisitos de datos para proyectos de IA y diseñar técnicas para adquisición, limpieza y preprocesamiento de datos. 📊 También probará y validará los modelos de IA e integrará en aplicaciones de software. 🛠️

    Calificaciones

    • Habilidades en Ciencias de la Computación
    • Experiencia en el desarrollo de redes neuronales y algoritmos de reconocimiento de patrones
    • Experiencia Modelos de lenguaje a gran escala (LLM), Modelos Multimodales (LMM), ML y DP.
    • Habilidades en desarrollo de software y competencia en lenguajes de programación como Python, Java o C++
    • Fuertes habilidades analíticas y de resolución de problemas
    • Excelentes habilidades de comunicación y trabajo en equipo
    • Un título en Ciencias de la Computación, Inteligencia Artificial o un campo relacionado
    • Experiencia en el desarrollo de sistemas de IA para industrias como la salud, finanzas o transporte es una ventaja
    • Experiencia con plataformas de computación en la nube y tecnologías de big data es una ventaja (Azure) 📈💻

   

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Govtech team builds rich and creative features that set the standard for the ride sharing industry. We are seeking a highly motivated, early-career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure the company's adherence to local regulatory requirements, and utilize the latest AI technologies to enhance the user experience. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact. 

As a Software Engineer for Govtech, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you.

Responsibilities:

• Help establish roadmap and architecture based on technology and understanding of customer needs
• Write well-crafted, well-tested, readable, maintainable code
• Can help lead large projects from idea to positive execution
• Unblock, support and communicate with external and internal partners to achieve results
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

Experience:

• Engineering industry experience
• BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.
• Experience with object-oriented programming
• Experience in distributed systems
• Experience working with databases, relational or NoSQL
• Write clear, scalable and clear design documentation
• Design, build and improve a set of team owned components
• Nice to have: experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
• Nice to have: experience with machine learning and building LLM applications

Nice to have: proficiency in AI tools.

Please submit your resume in English.

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: 21204

Job Summary

We are seeking a highly skilled Data Quality / Data Governance Specialist with a strong focus on execution and implementation, not just documentation. This role is critical in ensuring data reliability, integrity, and governance across both batch and real-time data ecosystems.

You will work closely with data engineering, analytics, and business teams to operationalize data governance frameworks, enforce data quality standards, and implement observability practices across modern data platforms.

Responsibilities and Duties

Data Governance & Execution

• Implement and operationalize data governance frameworks, policies, and standards across the organization.
• Move beyond documentation to ensure real enforcement of governance practices within data pipelines and systems.
• Define and enforce data contracts between producers and consumers.
• Establish ownership, stewardship, and accountability models for data assets.

Data Quality & Observability

• Design and implement data quality frameworks to ensure accuracy, completeness, and consistency of data.
• Define and monitor data quality rules and SLAs across datasets.
• Implement and manage data observability tools to track data health, lineage, and anomalies.
• Partner with engineering teams to integrate quality checks into pipelines.

Data Architecture (Batch & Real-Time)

• Ensure data quality and governance across:
  • Batch processing architectures (e.g., Medallion architecture: Bronze, Silver, Gold layers)
  • Real-time/streaming systems
• Implement validation and quality checks across all layers of the data lifecycle.
• Collaborate on architecture decisions to embed governance and quality by design.

Modern Data Stack Implementation

• Work hands-on with modern data technologies, including:
  • Python, SQL, Spark for data processing and validation
  • AWS services such as Kinesis, Lambda, SQS/SNS
  • Data lake/table formats such as Apache Iceberg
• Integrate governance and quality controls into data pipelines and workflows.

Collaboration & Continuous Improvement

• Collaborate with Data Engineers, Data Scientists, and Business stakeholders to ensure trusted data usage.
• Educate teams on data governance best practices and standards.
• Continuously identify opportunities to improve data reliability, reduce incidents, and increase trust in data.
• Support incident resolution related to data quality issues and implement preventive measures.

Qualifications and Skills

• 5+ years of experience in Data Governance, Data Quality, or Data Engineering-related roles.
• Proven experience implementing (not just documenting) data governance frameworks.
• Strong hands-on experience with:
  • Data quality frameworks and validation strategies
  • Data contracts and schema enforcement
  • Data observability tools and practices
• Experience working with:
  • Batch architectures (Medallion architecture preferred)
  • Real-time/streaming data pipelines
• Proficiency in:
  • SQL and Python
  • Distributed data processing tools such as Spark
• Experience with modern data stack technologies:
  • AWS (Kinesis, Lambda, SQS/SNS)
  • Apache Iceberg or similar table formats

Preferred Qualifications 

• Experience with tools like Great Expectations, Monte Carlo, Databand, or similar observability platforms.
• Familiarity with data cataloging and lineage tools.
• Knowledge of data privacy, compliance, and regulatory frameworks.
• Experience with CI/CD integration for data pipelines.
• Strong understanding of data modeling and data architecture patterns.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

The salary range for this role is $6,000 - $12,500 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

Interview Process

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Interview with recruiters (30 min)
• Coding assessment (~1.5 hours)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

About the Role: 

We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.

In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.

This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.

What You'll Do:

• Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
• Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
• Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
• Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
• Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
• Mentor engineers and champion a culture of learning, innovation, and operational excellence.
• Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.

What We Look For:

• 12+ years of professional software engineering experience, including significant backend experience.
• Deployed significant changes to a production application in the past 30 days.
• Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
• Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
• Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
• Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Knowledge and Skills:

• Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
• Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
• Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
• Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
• Working knowledge of TypeScript, React, or React Native.
• Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
• Track record of shipping commercial APIs and data-driven applications in high-growth environments.
• Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

 The salary range for this role is $3,333 - $6,000 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.

You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.

What You'll Do:

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
• Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
• Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
• Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

What We Look for:

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
• Familiarity with cloud-native development using AWS.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Marketing Analyst- Comms who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

The Marketing Analyst - Comms, will sit at the intersection of data, CRM strategy, and AI-driven efficiency. We’re looking for an execution-oriented person who owns their work from end-to-end. You'll dive into the details of how our campaigns operate across email, push, SMS, and in-app channels, spot friction and inefficiency, and design smarter ways forward. You'll spend most of your time inside Braze, Sezzle's primary consumer-focused CRM and marketing automation platform, building and analyzing campaigns across email, push, SMS, and in-app channels. You'll dig into performance data to identify what's working, surface gaps in our consumer journeys, and develop new comms to fill them. You'll also look for every opportunity to apply AI tools to make the team's output faster, sharper, and more scalable.
This isn't a role where you wait for assignments. We want someone who can look at a set of data, identify the opportunity, and start building toward it then communicate what  they found and why it matters to the team around them.

What You'll Do:

• CRM Campaign Execution & Analysis

  • Build, launch, and iterate on campaigns and canvases in Braze across email, push, SMS, and in-app channels.

  • Audit existing consumer journeys to identify engagement gaps, drop-off points, and missed messaging opportunities.

  • Develop segmentation strategies and personalized comms that improve activation, engagement, and retention.

  • Support A/B test design, execution, and readout — translating results into clear, actionable recommendations.

  • Maintain performance dashboards and reporting frameworks that make campaign data interpretable for the broader marketing team.

  • Track KPIs including DAU, ARPDAU, LTV per user, open rates, click rates, and conversion, and surface insights tied to those metrics.

  • Effectively manage our marketing CRM tool to drive new and innovative use cases that can be shared across the team

  • Write SQL queries to investigate issues and campaign results using internal data

  AI, Automation & Process Optimization

  • Identify opportunities to apply AI tools and automation across marketing workflows from copy generation to campaign QA to performance analysis.

  • Build and iterate on tools, templates, and agents that reduce manual effort and improve output consistency.

  • Stay current on emerging AI/automation capabilities and bring concrete recommendations for how they can be applied within Sezzle's marketing stack.

  Cross-Functional Collaboration

  • Partner with marketing, product, data, and engineering teams to align on tooling decisions and ensure smooth implementation.

  • Serve as a connector between technical teams and marketing stakeholders, translating requirements in both directions.

  • Facilitate adoption of new tools and workflows by developing documentation, training materials, and hands-on support for team members.

  • Identify and flag integration risks early; bring concrete mitigation recommendations.

What We Look for:

• Skills & Competencies

  • Hands-on experience building or implementing AI tools, agents, and automation in a professional setting.

  • Strong analytical skills, comfortable working with data, running queries, and presenting findings with context.

  • Experience in consumer marketing operations, CRM platforms (Braze or similar), or marketing technology stacks; Braze experience is a plus.

  • Ability to identify process inefficiencies and develop structured, scalable solutions.

  • Excellent written and verbal communication skills, and you can explain technical concepts clearly to non-technical teammates.

  • Basic project management skills; organized, proactive, and reliable with deadlines.

  • Experience with segmentation, A/B testing, and performance reporting.

  • Strong experience in data visualization tools and SQL.

  • Ability to prioritize and manage multiple tasks simultaneously 

  Educational & Professional Experience

  • Background in computer science, analytics, engineering, AI, and/or related fields.

  • Exposure to business, marketing, finance, or other related fields

  • Previous internships or academic projects involving campaign management, marketing analytics, and content creation preferred.

  • Professional, academic or personal projects that demonstrate an ability to creatively use AI to create efficiencies.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.

• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.

• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.

• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.

• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).

• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.

• Familiarity with cloud-native development using AWS.

• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.

• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.

• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).

• Experience with Golang is a plus (or willingness to learn).

• Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things

• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $3,333 - $6,000 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.

You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.

What You'll Do:

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
• Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
• Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
• Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

What We Look for:

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
• Familiarity with cloud-native development using AWS.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).
• Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

We’re building production GenAI features and looking for a staff software developer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.

Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.

🔧 What you’ll do

• Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
• Build and maintain reliable services and workflows that support AI features in production.
• Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
• Run structured experiments, interpret results, and translate learnings into product improvements.
• Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
• Mentor teammates through design feedback, code reviews, and practical guidance.

🎯GenAI expectations

• Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
• Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

✅ Required skills & knowledge

• 6+ years in software engineering.
• 3+ years building and shipping production software in product teams.
• Bachelor’s in computer science, Engineering, or related field.
• Strong software engineering fundamentals and system design.
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.

🧩 Nice to Have

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
• External contributions (open source, blogs, talks).

🔨 How we work

• We balance exploration with delivery: test ideas quickly, then productionize what works.
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
• The team owns systems end-to-end (build, release, reliability).

🗒️ Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

We’re building production GenAI features and looking for a staff software developer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.

Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.

🔧 What you’ll do

• Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
• Build and maintain reliable services and workflows that support AI features in production.
• Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
• Run structured experiments, interpret results, and translate learnings into product improvements.
• Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
• Mentor teammates through design feedback, code reviews, and practical guidance.

🎯GenAI expectations

• Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
• Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

✅ Required skills & knowledge

• 6+ years in software engineering.
• 3+ years building and shipping production software in product teams.
• Bachelor’s in computer science, Engineering, or related field.
• Strong software engineering fundamentals and system design.
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.

🧩 Nice to Have

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
• External contributions (open source, blogs, talks).

🔨 How we work

• We balance exploration with delivery: test ideas quickly, then productionize what works.
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
• The team owns systems end-to-end (build, release, reliability).

🗒️ Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

We’re building production GenAI features and looking for a staff software developer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.

Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.

🔧 What you’ll do

• Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
• Build and maintain reliable services and workflows that support AI features in production.
• Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
• Run structured experiments, interpret results, and translate learnings into product improvements.
• Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
• Mentor teammates through design feedback, code reviews, and practical guidance.

🎯GenAI expectations

• Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
• Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

✅ Required skills & knowledge

• 6+ years in software engineering.
• 3+ years building and shipping production software in product teams.
• Bachelor’s in computer science, Engineering, or related field.
• Strong software engineering fundamentals and system design.
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.

🧩 Nice to Have

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
• External contributions (open source, blogs, talks).

🔨 How we work

• We balance exploration with delivery: test ideas quickly, then productionize what works.
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
• The team owns systems end-to-end (build, release, reliability).

🗒️ Note: 

• This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
• This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment. 

🍎 Benefits 

• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: 21205

Job Summary

Supporting the analytics platform across GCP (BigQuery) and Tableau development. Focus is on data pipeline stability, reporting creation and maintenance, and light migration support from legacy systems (Hive/Presto and Tableau). Work is SLA-based, following defined SOPs from onshore teams. 

Key Responsibilities 

1. GCP Data Support (BigQuery)

• Create, maintain, and update tables/datasets in BigQuery  

• Support migration of tables from Hive/Presto to GCP  

• Convert and validate SQL logic (Hive/Presto → BigQuery)  

• Ensure data accuracy and consistency post-migration  

• Maintain curated datasets for reporting use  

1. Tableau Reporting & Migration

• Build and maintain Tableau dashboards on BigQuery datasets  

• Support migration of dashboards to a new Tableau instance  

• Perform validation and regression testing post-migration  

• Ensure dashboard accuracy, refresh stability, and performance  

1. Data Ingestion & Stability

• Support automated data ingestion pipelines into GCP  

• Monitor scheduled jobs and resolve ingestion failures  

• Troubleshoot data issues and coordinate fixes with Data Engineering  

• Ensure data availability meets SLA requirements  

1. Production Support

• Handle BAU fixes, data updates, and dashboard changes  

• Follow SLA timelines for reporting and migration tasks  

• Provide status updates and escalate issues as needed  

Required Skills 

• 2–5 years in BI / data engineering support roles  

• Strong SQL (BigQuery + Hive/Presto exposure preferred)  

• Experience with GCP (BigQuery)  

• Hands-on Tableau dashboard development & maintenance  

• Experience with data validation and reconciliation  

• Exposure to data migration projects (preferred)  

Preferred Skills 

• Experience with Freight & Logistics data 

• GTM Business exposure 

• Python (basic automation)  

• Airflow / workflow orchestration tools  

• Tableau migration experience  

• Performance tuning in BigQuery  

Success Metrics 

• Stable and accurate production datasets in GCP  

• Successful Hive/Presto → BigQuery migration support  

• Smooth Tableau dashboard migration with no regression  

• SLA adherence for BAU and migration tasks  

• Minimal data defects in reporting outputs  

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

About Us 

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

The Role

Our team is dedicated to empowering clinicians through data-driven innovations. We combine rigorous data science with practical engineering to build systems that make daily workflows more efficient, insightful, and intuitive. If you love tackling challenging problems and turning data into meaningful outcomes, you’ll find a welcoming and dynamic environment here.

As a Machine Learning Engineer, Applied AI, you’ll be at the forefront of building product features that help clinicians work effectively and efficiently, providing quality care to patients. You’ll be designing experiments, building robust models, tuning prompts, implementing LLM evals, and driving projects from idea to prototype to production with product, engineering and devOps teams. You’ll also play an important role in the roadmapping exercises of our ML platform. 

We value mentorship, open communication, and pushing the boundaries of what AI can do in a real-world healthcare context. Whether you’re fine-tuning a model, presenting insights to stakeholders, or brainstorming new product features, your work will have a direct and meaningful impact.

Responsibilities

• AI Prototyping and Development
• Develop AI workflows, customize data pipelines,  tune models, and engineer prompts to bring idea to prototype 
• Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output 
• Work with eng partners to integrate AI workflows into production
• Build and configure AI performance monitoring with proper reporting and alerts
• Optimize and maintain AI workflows for performance, reliability, and long-term scalability

• Research 
• Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective 
• Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind. 
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept. 
• Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions 

• Cross-Functional Collaboration
• Provide AI expert advice to product and eng partners in shaping product roadmap
• Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution 
• Communicate timeline, milestones, findings w/ internal stakeholders

• Mentor & Advocate Best Practices
• Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle 
• Champion a culture of experimentation, continuous learning, and proactive problem-solving

• Drive Innovation
• Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective

Desired Skills & Experience 

• BS or above in Computer Science, Statistics or a related technical field 
• 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features 
• Strong proficiency in Python and hands-on with advanced data analysis tools 
• Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow
• Experience with AWS (or other cloud platforms) for model deployment
• Comfortable designing and evaluating LLM-driven workflows
• Familiarity with retrieval pipelines and vector databases 
• Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems 
• Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom 
• Proficiency in English with strong communication and collaboration skill

Bonus Points 

• Experience with RAG architecture and context/state management for LLMs 
• Familiarity with LLM eval tools and human-in-the-loop evaluation process 
• Experience with Outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Experience with prompt management tool like Langfuse
• Familiarity with Kubernetes for container orchestration
• Background in healthcare, clinical workflows, or regulated domains

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: 21203

Job Summary

We are seeking a Sr. Data Engineer to design and implement data features utilized by hotels globally. This role will play a pivotal part in supporting and evolving our cloud-based (AWS) decision support environment, providing opportunities to contribute to innovative solutions within the hospitality industry.

Responsibilities and Duties

• Develop and own new data solutions from conception to deployment, employing best practices in data design.
• Analyze existing use cases by reviewing code in Python, AWS Glue, AWS  Kinesis, and SQL.
• Deconstruct complex problems into manageable tasks for streamlined analysis.
• Accurately estimate workload and deliver quality features that align with product requirements.

Qualifications and Skills

• Bachelor’s degree in Computer Science or a related field.
• Strong experience in software development with SQL, Python, and ETL technologies.
• Proven ability in implementing complex, high-volume data transformation solutions.
• Experience in designing and modifying data infrastructure to enhance data analysis and reporting.
• Excellent communication skills, both oral and written.
• Strong interpersonal abilities and management capabilities.
• Proficient analytical and problem-solving skills, with a track record of working effectively in dynamic environments.
• Availability to participate in on-call rotation and provide after-hours support.

Role-specific Requirements:

• Familiarity with AWS Aurora, AWS Redshift, AWS Glue, and AWS Kinesis is preferred but not mandatory.
• Experience with collaboration tools such as Atlassian Tools, DevOps, and CI/CD practices is a plus.
• Knowledge of reporting tools such as SSRS and Logi Report (JReport) is advantageous.

Technologies:

• AWS (including Glue, Kinesis, Aurora, Redshift)
• Python
• SQL

Skillset competencies:

• Data design and engineering
• Complex problem-solving
• Effective communication and collaboration
• Analytical thinking and decision-makin

Preferred Qualifications 

• Experience with CMS platforms (WordPress, Drupal, or headless CMS).
• Familiarity with CI/CD pipelines and deployment workflows.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with analytics tools and performance monitoring.
• Understanding of security best practices in web development.
• Experience working in Agile/Scrum environments.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 21189

About the Role

We are seeking a skilled COBOL Developer with strong experience in Micro Focus COBOL to support and enhance batch-oriented applications running in a modern cloud-based environment.

This role differs from traditional mainframe COBOL positions—you will be working in AWS WorkSpaces on Linux, focusing on batch processing systems, rather than legacy mainframe technologies such as JCL, DB2, or CICS. The ideal candidate is comfortable working in distributed environments and has experience building and maintaining reliable batch workflows.

Responsibilities

• Design, develop, and maintain COBOL applications using Micro Focus COBOL.
• Build, enhance, and support batch processing systems and workflows.
• Troubleshoot and resolve issues in existing batch jobs and data processing pipelines.
• Work within AWS WorkSpaces (Linux-based environments) for development and deployment.
• Analyze business requirements and translate them into technical solutions.
• Optimize batch jobs for performance, reliability, and scalability.
• Collaborate with cross-functional teams including QA, DevOps, and business stakeholders.
• Maintain clear documentation for processes, code, and system behavior.
• Participate in code reviews and ensure adherence to coding standards.

Required Qualifications

• 3–5+ years of experience in COBOL development.
• Strong hands-on experience with:
  • Micro Focus COBOL
  • Batch processing systems (job scheduling, data processing, file handling)
• Experience working in Linux environments (navigation, scripting basics, file systems).
• Familiarity with AWS WorkSpaces or similar cloud-based development environments.
• Strong problem-solving and debugging skills.
• Ability to work independently and manage multiple tasks.

Nice to Have (Not Required)

• Experience with AWS services or cloud-native environments.
• Familiarity with shell scripting (Bash or similar).
• Experience with file-based data processing and integrations.
• Exposure to modern DevOps practices or version control systems (Git).

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: 21188

Job Summary
As a QA Automation Engineer II, you will play a pivotal role in developing, maintaining, and improving automated test frameworks to ensure the delivery of high-quality software solutions. You will collaborate with cross-functional teams to implement best practices, enhance testing efficiency, and support agile development processes.

Important Information 

Location: Mexico

Work Mode: Remote

ID: 20754 

Job Summary 

As a Mid Frontend Developer - React, TypeScript you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Develop and deliver high-quality frontend features using React, TypeScript, and Next.js, from prototype to production.
• Integrate frontend applications with backend services via RESTful APIs and manage data fetching efficiently.
• Build reusable, scalable UI components using modern styling systems (Tailwind CSS, design systems, headless UI).
• Ensure code quality through testing, performance optimization, and active participation in CI/CD and code review processes.

Qualifications and Skills 

• 3+ years of experience in frontend development with strong expertise in React and TypeScript.
• Solid experience with Next.js (SSR, SSG, App Router) and modern React features (hooks, Server Components).
• Strong knowledge of HTML, CSS, JavaScript (ES6+), and responsive design principles.
• Experience with state management and data fetching tools (React Query, SWR, Redux, Zustand, etc.).
• Hands-on experience with Tailwind CSS and modern UI/component libraries (Radix UI, shadcn/ui, etc.).
• Experience with form handling and validation (React Hook Form, Zod).
• Strong experience with testing frameworks (Jest/Vitest, React Testing Library, Playwright).
• Familiarity with Node.js (basic backend/BFF knowledge).
• Experience with modern tooling and workflows (Vite/Webpack, Git, CI/CD pipelines).
• Experience leveraging AI-assisted development tools (Copilot, Cursor, Claude, etc.) and strong problem-solving skills.

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

About Nubank

Nu is the world's largest digital banking platform outside of Asia, serving over 127 million customers across Brazil, Mexico, and Colombia. Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey — promoting financial access with responsible lending and transparency. Recognised by Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Banks, Nu is now entering its next growth cycle: accelerating internationalisation outside Latin America and expanding into new verticals beyond financial services.

About the Team

The People Analytics Technology Operations (PATO) team is redefining what People & Culture infrastructure looks like for a company operating at global scale with an AI-first mandate. We don't run HR software — we build the systems that make HR itself obsolete in its traditional form. Our work touches every Nubanker, every country, every moment of the employee lifecycle. We are the internal frontier lab for agentic people systems.

About the Role

Here is the core question this role exists to answer: if you were designing People & Culture infrastructure from scratch today — knowing that AI agents will run most operations, humans will audit rather than execute, and the channels and surfaces workers interact with don't fully exist yet — what would you build?

This isn't a rhetorical question. It's the actual brief.

The SaaS era of HR technology is being disrupted faster than most incumbents can adapt. Workday, SAP, ServiceNow — products built for a world of human workflows and form-based interfaces — are structurally ill-equipped for an agent-native operating model. The real competitive moat in this next era won't be features. It will be the depth of integration within a specific domain, and the quality of the data and reasoning layer that sits beneath it. We have the rare opportunity to build that solution — purpose-built for the People & Culture domain — inside one of the most technically ambitious companies in the world.

As Global People Data & Tech Director, you will lead the effort to design and build this from the ground up. You will define what the agentic HR stack looks like: the data models that make agents actually useful, the orchestration layer that lets them act with minimal human friction, the audit surfaces that let people stay in control without becoming bottlenecks, and the foundational platform that scales to 40+ markets without scaling the team that builds it. Agentic development practices aren't a side methodology here — they are how this organisation will operate. You build with agents, you build for agents, and your team stays lean precisely because of it.

This role isn't for someone who has deep experience with HR software. It's for someone who looks at HR software and sees an industry ripe to be rebuilt. You are a product and infrastructure thinker who happens to care deeply about the employee experience — and who has the technical depth and organisational leadership to translate that vision into production systems used by hundreds of thousands of people.

Key Responsibilities

Define the Agent-Native HR Stack

• Design the architecture for a People & Culture platform where agents are first-class citizens: capable of executing hiring, onboarding, payroll, compliance, and performance workflows with minimal human intervention.
• Define the human-in-the-loop model — which decisions require human review, through what interfaces, with what level of latency — so that oversight is meaningful rather than ceremonial.
• Identify and kill the workflows that should no longer exist at all.

Build the Data Foundation

• Architect the People data layer that will serve as the substrate for agent reasoning, predictive analytics, and LLM-powered insight generation for the next decade.
• Ensure the data model is jurisdiction-aware from day one — built to accommodate the legal, cultural, and operational variance of 40+ markets without requiring structural rework per country.
• Drive the transition from fragmented HR data silos to a unified, real-time, auditable data layer that agents and analysts can trust equally.

Build With and For Agents

• Apply agentic development practices to your own team's engineering process — using agents to write, test, review, and deploy code so that headcount does not scale linearly with product scope.
• Lead the development of real-time AI-powered employee experiences: intelligent copilots, proactive guidance systems, and autonomous support channels that resolve needs before they become tickets.
• Advance Nubank's application of large language models to unstructured People data — feedback, communications, performance narratives — turning qualitative signal into structured organisational insight.

Own the Platform Vision

• Define the comprehensive HR platform roadmap — what we build, what we integrate, and what we deliberately do not own — with a bias toward deep integration over broad coverage.
• Ensure the platform is designed for global scale from the start: multi-currency, multi-jurisdiction, multi-language, and operable across legal entities without per-country engineering investment.
• Bridge strategic vision with hands-on execution, staying close enough to the codebase and architecture to make credible decisions and earn the trust of your engineering team.

Lead the Organisation

• Build and lead a high-performing, deliberately lean team that punches well above its headcount because it builds and operates with agents.
• Develop senior technical leaders who can own domains end-to-end, reducing coordination overhead and enabling faster iteration.
• Foster a culture of intellectual honesty — one that questions inherited assumptions about how HR technology should work, and is willing to discard anything that doesn't hold up.

Qualifications & Skills

What We're Looking For

We are not looking for someone who has spent their career in HR technology. We are looking for someone who has built consequential software systems, who thinks seriously about agents and automation, and who is intellectually excited by the opportunity to apply that background to a domain that is fundamentally underbuilt.

Required

• 10+ years in software engineering and technology leadership, with demonstrated experience owning large-scale production systems from architecture through operation.
• Deep fluency in data architecture and data modelling — the ability to design canonical data structures that remain coherent as business complexity grows across jurisdictions and entity types.
• Hands-on experience building with or designing for agentic systems: familiarity with LLM-based reasoning, tool use, multi-agent orchestration, and the failure modes that come with autonomous execution.
• Experience leading platform or infrastructure products — systems used by other teams and applications, not just end users — with the taste and discipline that entails.
• Proven ability to scale impact without scaling headcount: through leverage, tooling, great architecture, and a culture that defaults to automation before process.
• Strong engineering management skills, including the ability to hire, develop, and retain senior technical talent and engineering leaders.

Valued

• Experience building products that operate across multiple legal jurisdictions — especially products where regulatory variance is a first-class design constraint, not an afterthought.
• Background in developer platforms, internal tooling, or B2B SaaS — contexts where you have thought carefully about API design, data contracts, and integration depth.
• Familiarity with the People & Culture domain — not as a practitioner, but as a product builder who has spent time understanding what HR teams actually do, where the friction lives, and what automation can and cannot replace.
• Experience operating within a high-growth technology company where ambiguity is the norm and the product surface changes faster than any roadmap.

Core Leadership Skills

• Business Acumen: Drives strategic alignment by reading market dynamics, spotting where incumbents are structurally vulnerable, and translating that into build-vs-integrate decisions with long-term leverage.
• Communication: Moves between technical depth and executive narrative fluently — able to defend architectural choices with an engineer and explain the same decision to a board.
• Agile Adaptability: Leads in conditions of genuine uncertainty, treating early product iterations as learning instruments and calibrating direction based on evidence rather than original conviction.

Role Details

Location:  São Paulo, Mexico City, Bogotá, or US (Palo Alto, Miami, or Virginia) | Location-Specific Disclosures

Reports To: Suzana Kubric, CHRO at Nubank

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: 20983

Job Summary

We are looking for a versatile and forward-thinking Senior Software Engineer to support and accelerate AI adoption across the organization. This is not a traditional project-based role—instead, you will act as a technical enabler and problem solver, partnering with business teams to bring AI-driven ideas to life.

You will work across a variety of use cases, from building new AI-powered solutions to deploying and scaling existing prototypes, often in non-standard and evolving environments. Success in this role requires adaptability, strong engineering fundamentals, and hands-on experience with modern AI tools and cloud platforms.

Responsibilities and Duties

• AI Enablement & Solution Delivery

  • Collaborate with business stakeholders to evaluate, design, and implement AI-driven solutions.
  • Support both greenfield builds and deployment of existing AI prototypes.
  • Work with modern AI tools such as Claude, Codex, Cline, and similar platforms to accelerate development and experimentation.
  • Contribute to prompt engineering, workflow orchestration, and AI solution optimization.
  • Help define best practices for AI adoption across the organization.

  ---

  Software Engineering & Development

  • Design, develop, and maintain scalable applications using Java or Python.
  • Build APIs, services, and integrations to support AI-driven workflows.
  • Ensure high standards for code quality, performance, and maintainability.
  • Work across different layers of the stack depending on project needs.

  ---

  Cloud & Architecture (AWS)

  • Design and implement solutions in AWS, leveraging cloud-native architectures.
  • Contribute to architectural decisions with a focus on scalability, reliability, and cost-efficiency.
  • Deploy and manage applications in cloud environments, with exposure to services such as:
    • AWS Lambda (serverless)
    • Amazon EKS (Kubernetes) (nice to have)
  • Apply best practices for cloud security, monitoring, and resource optimization.

  ---

  Adaptability & Problem Solving

  • Operate effectively in ambiguous, fast-changing environments with evolving requirements.
  • Quickly ramp up on new tools, frameworks, and AI technologies as needed.
  • Act as a technical consultant/partner to non-engineering teams.
  • Balance speed and quality while delivering practical, business-focused solutions.

  ---

  Collaboration & Continuous Improvement

  • Work closely with cross-functional teams including Product, Data, and Business stakeholders.
  • Share knowledge and help upskill teams on AI capabilities and tools.
  • Contribute to improving engineering practices, tooling, and workflows.
  • Participate in technical discussions, design reviews, and solution brainstorming.

Qualifications and Skills

• 5–8+ years of experience in software engineering.
• Strong proficiency in Java or Python (both is a plus, but not required).
• Hands-on experience working with AI tools and platforms (e.g., Claude, Codex, Cline, or similar).
• Experience building and deploying applications in cloud environments (AWS preferred).
• Solid understanding of software architecture, APIs, and system design.
• Ability to work in ambiguous, non-standard, and evolving environments.
• Strong problem-solving and analytical skills.
• Excellent communication skills and ability to work directly with business stakeholders.

Preferred Qualifications 

• Experience with LLMs, NLP, or AI/ML workflows.
• Familiarity with prompt engineering and AI orchestration frameworks.
• Experience with AWS Lambda, EKS, or other cloud-native services.
• Knowledge of containerization (Docker, Kubernetes).
• Experience integrating AI solutions into enterprise systems.
• Background in rapid prototyping or innovation-focused teams.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Senior Software Engineer

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 20624

Job Summary

We’re looking for a Senior Full Stack Engineer with experience in .NET ecosystem to help build scalable, secure, and high-performance SaaS applications. This role involves hands on development, implementation, troubleshooting and focus on architecture & design, planning and AI-powered workflows.

Responsibilities and Duties

• Modernizing Web Forms or similar server-rendered architectures;
• Working with stored procedures, relational databases, or performance-sensitive SQL;
• Comfortable working in a Shift Left development environment;
• Committed to delivering high-quality code with a strong focus on quality and reliability;
• Self-driven, takes ownership, and collaborates effectively across teams.

Essential Skills

• Experience Building web applications using C#, SQL, and front-end frameworks (Angular, React, etc);
• Strong knowledge of MS SQL Server, including indexing and query optimization;
• Familiarity with AWS or other cloud environments (EC2, S3, SES, etc.);
• Exposure to modern API technologies such as GraphQL;
• Experience with coding agents or AI-assisted development workflows (e.g., MCP, GitHub Copilot, Claude Code);
• Understanding of front-end fundamentals (HTML, CSS) in traditional web environments;
• Experience writing unit and integration tests;
• Clear and confident English communication skills (written and verbal).

Highly Desirable Skills

• Willingness to embrace AI-powered development tools (e.g., Copilot, Cursor, Claude Code);
• Basic to intermediate understanding of AI concepts such as LLMs, MCP, RAG, etc.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 20874

Job Summary

Our development team is looking for a well-rounded Software Engineer to join their awesome team.  The primary responsibility of the Software Engineer is to analyze, design, code, and test new features.  This team member will also be responsible for bug fixes and improvements to existing code.   

Responsibilities and Duties

• Design and code new features/enhancements and troubleshoot production issues 

• Create/update features to meet our security, coding and functionality standards 

• Develop tools and practices that will increase the efficiency of your team 

• Work closely with architects and business partners to define Agile stories for new capabilities 

• Follow agile development practices 

• Work collaboratively and cohesively in a great team environment 
• Collaborate with local and remote team members.

Qualifications and Skills

• High competency with Object Oriented and S.O.L.I.D principles 

• High competency with C# and SQL Server/T-SQL 

• Hands-on experience with Visual Studio 2017 and above and .NET 4.5 and above 

• Experience working with n-tier architectures, WCF services, microservices, WebAPI  

• Solid familiarity with RESTFul API,  Javascript, CSS, HTML, XML and JSON 

• Familiarity with JQuery and a modern JS framework (Vue or Angular or React) 

• Experience working with SQL Server Management Studio 

• Familiarity with Unit testing and Code Quality considerations. 

• Experience with Agile and Azure DevOps 

• Self-starter who can grasp difficult concepts and large architecture quickly 

• Must exhibit a high-level of analytical skills and attention to detail 
• KendoUI experience is desirable

• BS in Computer Science or Computer Engineering or equivalent 6 -7 year work experience 

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 19491

Job Summary

We are seeking a highly skilled and experienced Java UI Application developer  to lead the design, development, and optimization of advanced software solutions for geophysical data processing, modeling, visualization and interpretation. In this role, you will collaborate closely with geoscientists to create innovative tools that enhance data-driven decision-making through powerful visualization and interpretation capabilities. You will also collaborate with global development teams across Europe, Canada, and the United States, contributing to a dynamic and international engineering environment. 

Responsibilities and Duties

• Collaborate closely with a UX design team, product owners, and software engineers to translate UX requirements into robust GUI implementations with Eclipse RCP/SWT. 

• Present software designs and technical proposals to lead. 

• Ability to break down development tasks and lay out clear implementation roadmaps. 

• Implement and optimize computation algorithms  

• Design and develop both thin and thick client applications that interact with cloud-based microservices. 

• Working with complex UI Java threading and concurrency 

• Working with a large code base and multiple distributed development teams 

• Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools 

• Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of a complex RCP desktop application 

• Mentor junior developers and actively contribute to architectural and implementation decisions. 

• Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint 

• Stay current with emerging technologies and trends in computing and software development.  

Qualifications and Skills

• BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. 

• Ability to break down complex development tasks and define clear, actionable implementation of roadmaps. 

• Proficiency with development tools and environments: 

• Preferred strong Java experience 

• GitLab/Github, Eclipse RCP/SWT, VS Code, CI/CD pipelines 

• Performance tools: VisualVM, JMC/JFR, Async 

• Operating systems: Windows and Linux 

• Must be self-motivated and able to work well in a distributed team environment 

• Experience developing commercial thick client desktop applications 

Nice to have experience 

• Hands-on experience using Agentic AI to accelerate code implementation and enhance development productivity. 

• C++ knowledge and experience a benefit 

• Familiarity with cloud platforms and distributed computing: 

• Restful API design and implementation 

• AWS and Azure 

• Tools for scalable data processing: Kubernetes, Spark 

• Experience with Java 2D graphics or 3D OpenGL + CUDA programming. 

• Experience working with Cascading Style Sheets (CSS) 

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +2 years

Job Mode: Full-time

Work Mode: Remote

ID: 19997

Job Summary

You will work closely with the CTO to develop the technical strategy and deliver critical features for Phase 1 and beyond. You will be responsible for recruiting and working with the engineering and product teams as well as RET’s LPs, portfolio companies, and future customers.

Responsibilities and Duties

What you're building: The foundational application and API for a multi-tenant property management platform that institutional operators will use to manage 5,000+ units across complex portfolio structures with billions of dollars in revenue.

• Customer discovery & advocacy. It’s not enough to be an engineer that shows up. You must strive to understand and advocate for what’s best for customers. That means digging deep into data, research, etc. to inform your position.
• Estimation and roadmapping. We are building an enterprise system that will require tradeoffs in the roadmap. You will need to provide estimates that you are defensible that will inform what gets built when.
• Pragmatic engineering. We’re moving quickly and our eng team’s primary responsibility is to ship software that drives value for our early alpha customers. You make decisions that reflect the urgency and our customers’ needs, not technical “perfection”.
• Database Architecture & Schema. You own the PostgreSQL schema and write SQL to answer product questions yourself—spotting data quality issues (orphaned records, geocoding gaps, ledger mismatches) before they become production bugs. You design migrations for zero-downtime deployments and implement row-level security policies that make multi-tenant isolation bulletproof.
• Partner Engineering Collaboration. You work directly with engineering teams at partners—not through PMs. When a partner’s geocoding data conflicts with reality (15% of units show >5 mile discrepancies), you write the analysis, propose the schema fix, and email their engineering lead with SQL-backed findings.
• API Design. We count developers as one of our core personas. You're building APIs for both external developers and internal operators—stakeholders who often conflict. You make tradeoff calls using data and judgment: when a partner asks for real-time pricing updates but your analysis shows pricing changes 2-3x/month, you propose batch updates with performance benchmarks to back it up.
• Financial Ledger Accuracy. You write reconciliation queries that validate every resident's balance equals charges minus payments, implement concession logic that finance can audit, and own the charge posting rules that determine GL entries.

Who We're Looking For

Required

Enterprise software shipped at scale. You've managed a product roadmap with 18+ month horizons, hard dependencies, and major stakeholders. You've navigated:

• Regulatory/compliance constraints that shape product decisions
• Complex integrations with third-party systems
• Customers with opposing needs (you can't make everyone happy)
• Product decisions that stick—you don't pivot every sprint

Ownership mentality. You identify problems and solve them without hand-holding. You don't wait for permission. You don't blame "the market" or "the other engineers." You figure out what's wrong and fix it.

Direct feedback tolerance. You handle critical feedback without defensiveness. When a founder or customer tells you something isn't working, you dig in and validate/refute it with data. You don't take it personally.

Strong written communication. You write clearly (Slack, docs, PRDs). You explain complex ideas to non-technical stakeholders. You document decisions so people understand why, not just what.

Good knowledge JavaScript/TypeScript and React. You have experience shipping React-based applications,

Design-first thinking. We assert that design absolutely matters. You consider yourself the design quality of everything we ship—APIs, workflows, reports, configuration interfaces—and obsess about the quality and the end user experience.

Agentic-First Development. You expect and want to ship huge portions of our v1 software agentically. You have recent experience shipping software using agentic agents such as Claude Code or Cursor. You constantly refine our agentic set-up to optimize for the latest models and drive efficiency and quality improvements.

Strongly Preferred

API/developer platform product experience. You've designed or managed APIs. You understand the difference between shipping for internal teams vs. external partners. You've dealt with versioning, breaking changes, and partner certification.

Revenue management systems (RMS) integration experience. You've integrated with or worked adjacent to RMS platforms (Yardi, AppFolio, RealPage, Entrata). You understand the data flows, the politics, and why it's so hard.

Accounting Experience. You've worked in workflows involving delinquency, collections, or accounts receivable. You understand why this boring-sounding area is actually critical.

Multifamily industry experience. You've shipped products into the multifamily space (property management, revenue management, leasing, or operations).

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information

Experience: +10 years

Job Mode: Full-time

Work Mode: Remote

ID: 20188

Job Summary

We are seeking a Quality Engineering Lead with a proven track record in the quality assurance of large scale, complex web-based and mobile applications, primarily using automation technologies. This is a hands-on leadership position which includes developing test automation while managing, leading and developing an international quality engineering team

Responsibilities and Duties

● Leads, directs and manages the Quality Engineering Team and its strategic, tactical and operational activities.
● Coordinates, leads and actively participates in all Quality Engineering projects, including technical requirements gathering, resource allocation, design and documentation, scheduling, development, implementation, task tracking, and status reporting.
● Collaborates closely and regularly with the other teams, including Product Development, Project Management, Front-End, Back-End and Data Engineering, DevOps, Infrastructure, and Customer Service.
● Designs, develops and maintains quality technology strategy, architecture and code, and leads other quality engineers by example.
● Helps develop, maintain and enforce the company’s software development tools and standards, and conducts design and code reviews on a regular basis to improve quality and ensure compliance.

Qualifications and Skills

● Expert-level understanding of QA processes and methodologies, including test automation, test case management, bug tracking and reporting, and browser testing tools and plugins.
● Expert-level skills and experience designing, developing, and supporting automation technologies for unit, functional, regression and performance testing of complex, scalable, high-traffic and availability web and mobile applications and architectures, including UI, API and Data.
● Expert-level skills and experience with modern automation frameworks, such as Cypress, Playwright, and Selenium.
● Strong experience with CI/CD Tools and Systems such as Jenkins, Hudson, GitLab, GitHub, etc.
● Good experience with SQL and Relational Databases as well as Big Data and NoSQL Technologies.
● Experience with Amazon Web Services such as EC2, S3, DynamoDB, ElastiCache, and RDS.
● Experience with the Agile Development Process and related tools.
● Experience leading, building and managing teams with decision making responsibilities.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information:

• Years of Experience: 7+ years

• Job Mode: Full-time

• Work Mode: Remote within Mexico

Job Summary:

We are seeking a highly experienced Software Development Engineer in Test (19742) with a strong background in data quality, analytics testing, and data engineering validation within the insurance industry. This role focuses on ensuring high-quality data across modern data platforms by defining, implementing, and maintaining robust testing strategies across the full data lifecycle—from raw ingestion to curated analytical layers. The ideal candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.

Responsibilities and Duties:

• Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers.

• Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases.

• Analyze engineering and analytics requirements to determine appropriate testing scope and strategies.

• Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment.

• Gain a deep understanding of the repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes.

• Investigate failed tests, perform root cause analysis, and support defect resolution.

• Review pull requests to ensure adherence to testing standards and data quality best practices.

• Actively participate in Agile ceremonies, providing quality insights and recommendations.

• Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value.

• Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

Qualifications and Skills:

• 7+ years of experience in Quality Engineering, with a strong focus on data-centric testing.

• Proven experience working within the insurance industry (required).

• Strong understanding of data warehousing concepts, ETL processes, and BI platforms.

• Solid knowledge of testing strategies, the Test Pyramid, and version control systems.

• Proficiency in SQL and scripting languages such as Python.

• Excellent communication, collaboration, and stakeholder management skills.

• Demonstrated ability to drive continuous improvement across technology, processes, and people.

• Strong leadership skills with experience guiding teams and influencing quality standards.

Role-specific Requirements:

• Hands-on experience designing and executing data validation strategies across complex data pipelines.

• Ability to translate business and analytical requirements into effective testing solutions.

• Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance.

• Comfortable working in fast-paced, Agile environments.

Technologies:

• dbt

• Databricks

• Pytest

• SQL

• Python

• Git

• Docker

• VSCode

• BI tools (Power BI, Tableau – nice to have)

• Cloud environments (AWS, Azure, or GCP – nice to have)

Skillset Competencies:

• Data Quality & Validation

• End-to-End Data Testing

• Test Strategy & Automation

• Analytical Thinking

• Leadership & Mentorship

• Cross-functional Collaboration

• Continuous Improvement Mindset

• Business Value Awareness

About Encora:

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 19695

Job Summary

As a Senior Software Engineer, Application Platform you will be part of a fast-paced, collaborative team developing the application platform for our Penetration Testing as a Service cybersecurity capabilities. You will be a critical contributor to the development and delivery of key platform components that support our cybersecurity products, while also moving forward the state of engineering culture and SDLC processes throughout the organization. If you enjoy pivoting between different problems and meeting new challenges every day while developing solutions that are mission critical to the organization, this role is for you!

Responsibilities and Duties

• Design, build and deploy high-performance, resilient, scalable cloud-based software systems and components for the best-in-class cybersecurity platform.
• Drive the delivery of software capabilities from an idea to production, following SDLC processes, with an eye on quality and efficiency.
• Utilize GCP platform to build and run highly-available software systems.
• Identify and resolve performance issues across systems and components.
• Collaborate on a cross-functional team, working with Product, Operations, and Platform Engineering.
• Integrate monitoring and alerting capabilities with backend modules to allow proactive improvements to availability and response times.
• Own and ensure the quality of systems through automated tests.
• Ideate technical solutions for product requirements and user stories.
• Actively engage and participate in design and code reviews.
• Offer guidance and support to junior team members, encouraging and cultivating a culture of continuous learning within the team.

Essential Skills

• 7+ years of experience in distributed-systems and backend software engineering.
• Expert knowledge of golang (4+ years). Knowledge of Ruby is preferred, but is not required.
• Strong experience and understanding of microservices, REST API design, gRPC, writing unit testing, BDD testing.
• Strong design skills required – UML is a bonus; exposure to Domain Driven Design desirable.
• Experience with asynchronous messaging technologies such as Google PubSub, Kafka.
• In depth knowledge of NoSQL and RDBMS technologies.
• Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred).
• Experience working on agile teams.
• Excellent communication and collaboration skills in all mediums.
• Experience working on and scaling a microservice-based application.
• Experience with GitOps and DevOps principles, practices and tools.
• A proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information:

• Years of Experience: 5+ years in software development (Java)

• Job Mode: Full-time

• Work Mode: Remote 

Job Summary:
We are seeking a highly skilled Senior Java Backend Developer (18600)  to design and develop scalable, high-performing, and reliable backend systems. The ideal candidate will bring strong expertise in Java, web services, and cloud environments, and will actively collaborate with cross-functional teams throughout all phases of the agile development process.

Responsibilities and Duties:

• Analyze and digest requirements from the Product team to define high-level designs focused on availability, performance, and scalability.

• Evaluate and discuss trade-offs of various design approaches, creating detailed design documentation.

• Implement end-to-end solutions — from coding to testing — ensuring adherence to quality and performance standards.

• Actively participate in all phases of the agile development lifecycle.

Qualifications and Skills:

• Proven experience in object-oriented software development using Java SE 8+ (Java 11 preferred).

• Solid experience in backend systems development.

• Proficiency with Apache Maven for build and dependency management.

• Experience designing and consuming RESTful or SOAP-based web services.

Role-specific Requirements (Highly Desirable):

• Strong experience with Java frameworks, especially Dropwizard.io (Spring experience is also acceptable).

• Hands-on experience with automated testing in Java, including use of mocking frameworks.

• Experience with Cloud (mandatory)

• Familiarity with IaaS and PaaS platforms (primarily AWS).

• Proficiency in SQL and NoSQL databases.

• Comfortable working in Linux environments.

• Knowledge of Docker and container orchestration tools.

Technologies:

• Java SE 8+ / 11

• Dropwizard.io / Spring Framework

• Apache Maven

• REST / SOAP APIs

• AWS, Azure, Google Cloud

• Docker, Linux, RabbitMQ, SQS

• SQL / NoSQL databases

Skillset Competencies:

• Strong understanding of distributed systems and microservices architectures.

• Experience designing high availability and scalable systems.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience working within Agile teams (Scrum or Kanban).

• Exposure to VOIP and SIP technologies is a plus.

• Experience with Message Brokers such as RabbitMQ or Amazon SQS is highly desirable.

About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital-native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 20838

Job Summary

We’re looking for a Senior .NET Full Stack Engineer with experience in .NET and Angular 16+ to help build scalable, secure, and high-performance SaaS applications. This role involves working with modern architectures, development practices, and AI-powered workflows.

Required Skills

Experience

8+ years of hands-on experience in SaaS or enterprise application development.

Backend

Strong proficiency in C# and the .NET ecosystem.

Experience with Cloud; AWS (preferred) or another major cloud provider's services.

Solid experience with Entity Framework.

Deep understanding of Relational Databases including query optimization and performance tuning. (SQL Server / Postgres)

Strong expertise in JSON mapping and dynamic user interface generation based on JSON configurations.

Deep understanding in NoSQL DB (Amazon DocumentDB preferred)

Frontend

Angular16+ experience preferred; other modern front-end frameworks acceptable.

Engineering Practices

Strong troubleshooting, debugging, and performance optimization skills.

Experience writing unit and integration tests.

Comfortable working in a Shift Left development environment.

Committed to delivering high-quality code with low defect rates.

Self-driven, takes ownership, and collaborates effectively across teams.

Clear and confident English communication skills (written and verbal).

AI & Modern Development

Willingness to embrace AI-powered development tools (e.g., Copilot, Cursor, Claude Code).

Basic to intermediate understanding of AI concepts such as LLMs, MCP, RAG, etc.

Bonus Points
Practical experience implementing event-driven architectures in production systems.

Hands-on experience with monitoring/observability tools (e.g., CloudWatch, Datadog, New Relic).

Previous experience leading end-to-end delivery in a Shift Left environment with limited QA resources.

Experience with GraphQL.

Experience in Windows Services, Desktop applications & WPF.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 20891

Job Summary

We are seeking a highly experienced Senior IA Engineer with deep expertise in AI workloads, NLP, LLMs, and Voice APIs, along with strong hands-on experience in AWS and extensive use of Claude.

This role is ideal for someone who can design, build, and scale intelligent automation solutions powered by large language models and conversational AI. You will play a key role in architecting AI-driven systems, integrating voice capabilities, and optimizing model performance in production environments.

Responsibilities and Duties

• Design, develop, and deploy AI-driven solutions leveraging LLMs, NLP, and conversational AI technologies.
• Build and optimize voice-enabled applications using modern Voice APIs.
• Work extensively with Claude for prompt engineering, orchestration, and AI workflows.
• Develop scalable AI pipelines and services on AWS (e.g., Lambda, S3, SageMaker, Bedrock).
• Implement and maintain end-to-end AI workflows, from data ingestion to inference and monitoring.
• Fine-tune prompts, evaluate model outputs, and improve accuracy, latency, and cost efficiency.
• Collaborate with product and engineering teams to integrate AI capabilities into applications.
• Ensure security, governance, and compliance in AI systems.
• Monitor AI system performance and implement improvements based on real-world usage.
• Mentor team members and contribute to AI best practices and standards.

Qualifications and Skills

• 7+ years of experience in software engineering
• Strong hands-on experience with:
  • LLMs (Large Language Models) and NLP techniques
  • Claude (Anthropic) for building AI-driven applications
  • Voice APIs and speech-based interfaces
  • AWS cloud services (Lambda, S3, API Gateway, Bedrock, SageMaker, etc.)
• Experience designing and deploying AI workloads in production.
• Strong programming skills in Python (preferred) or similar languages.
• Experience with prompt engineering, evaluation frameworks, and model optimization.
• Understanding of REST APIs, microservices architecture, and distributed systems.
• Familiarity with data pipelines and handling structured/unstructured data.

Nice to have experience 

• Hands-on experience using Agentic AI to accelerate code implementation and enhance development productivity. 

• C++ knowledge and experience a benefit 

• Familiarity with cloud platforms and distributed computing: 

• Restful API design and implementation 

• AWS and Azure 

• Tools for scalable data processing: Kubernetes, Spark 

• Experience with Java 2D graphics or 3D OpenGL + CUDA programming. 

• Experience working with Cascading Style Sheets (CSS) 

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 20350

Job Summary

We are seeking a skilled NET/C# Developer to design, develop, and integrate the new core platform services—including the Foundation Data Model, Unified Authentication, and Common Admin Console—specifically for the Human Capital Management (HCM) product suite. This role requires expertise in the Microsoft stack and enterprise identity systems to accelerate the HCM portfolio's migration and modernization.

Responsibilities and Duties

• Develop and integrate backend services for the Foundation Data Model and CMT using C# and .Net Core;
• Implement and configure the Single Authentication Entry Point for HCM products, focusing on enterprise identity standards like SAML, SSO, and integration with providers such as Okta;
• Design and query relational databases using SQL for core entity data persistence;
• Develop user interface components for the Common Administration Console using Angular;
• Integrate and utilize messaging queues (RabbitMQ) and search/logging technologies (Elastic) to ensure reliable, observable, and scalable platform services;
• Provide technical support and guidance to product teams within the HCM portfolio during their migration.

Essential Skills

• Backend: C#, .Net Core;
• Identity: OIDC, SAML, SSO, Okta (Must Haves);
• Database: SQL (e.g., SQL Server, PostgreSQL);
• Front-End: Angular;
• Messaging/Search: RabbitMQ, Elastic

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.