LLM Jobs in Chile.
All active LLM roles based in Chile.
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Senior Machine Learning Engineer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.
Job qualifications
Technical Skills
- An advanced English level is required.
- You must have a strong experience with LLM and AI.
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
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Junior Software Engineer, Python
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Role
We are looking for a Python developer who is curious, practical, and eager to grow within a strong engineering team. You should be comfortable writing Python, interested in backend systems, and willing to work in a fast-paced environment where reliability, security, and performance matter. You don't need to have mastered every part of our stack already, but you should be excited to learn, ask good questions, and build production-quality systems with support from experienced engineers.
You will work with our Python team to build secure, robust, and high-performance microservices that support critical revenue operations — including billing, tax calculation, customer commitments, and AI-powered automation. Over time, you will grow into owning parts of these services, helping us solve complex problems as the company scales.
People rely on our products to communicate every day, so we care deeply about resiliency, reliability, and thoughtful engineering.
Responsibilities
- Design and build developer-friendly and agent-friendly APIs
- Build, test, and deploy applications that support global communications services
- Help identify and resolve issues related to latency, scalability, and performance
- Create tools and AI agents to automate revenue operations
- Investigate production issues by tracing through logs, data, and code to understand root causes
- Learn how to support services in production, including incident investigation and on-call responsibilities with guidance from the team
- Collaborate with more experienced engineers on design decisions, code reviews, testing, observability, and deployment
Who we’re looking for
- 1-2 years of professional software development experience with an object-oriented programming language
- Experience writing Python for web applications, APIs, or backend services.
- Familiarity with frameworks such as FastAPI, aiohttp, Flask, Django, or similar.
- Experience designing or consuming RESTful APIs.
- Some experience with asynchronous programming, or a willingness to learn it.
- Comfort working with PostgreSQL or another relational database.
- Familiarity with SQL queries, schema design, migrations, or query performance.
- Exposure to event-driven architectures or message brokers such as RabbitMQ, Kafka, or similar.
- An interest in highly available, uptime-critical production environments.
- Understanding of microservice architecture patterns, and curiosity about trade-offs and anti-patterns.
- Familiarity with some of the following: Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
- Strong troubleshooting instincts. You are willing to dig through logs, query databases, read unfamiliar code, and ask questions to get to the bottom of an issue.
- Willingness to learn how to support services in production, including incident resolution and on-call processes.
- Comfort using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.
Bonus Points For
- Experience with billing, tax, or financial systems.
- Telecom domain knowledge.
- Experience with SQLAlchemy and Alembic.
- A thoughtful approach to decision making, knowing when to move quickly and when to optimize for the long term.
- Interest in fast-paced, product-driven environments.
- Curiosity about new technologies and patterns, and enjoyment in sharing what you learn.
- Familiarity with agent communication protocols such as MCP or A2A.
- Experience building AI agents or LLM-powered applications.
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Contract: AI Operations Specialist
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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.
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Contract: Senior Software Engineer - Newsela Writing Team
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Why You'll Love This Role:
We're hiring a Senior Software Engineer Contractor for the Writing product team. This is a hands-on role on a small, full-stack team building AI-powered learning experiences. You'll ship across the product end-to-end: frontend, backend, data, and the LLM-driven services that sit behind our assessment features.
We work AI-native. Coding agents (Claude Code, Copilot, Cursor) are how this team builds, reviews, and operates, and we expect senior engineers to do more than use them. The strongest people on the team invest in the harness itself: writing skills, hooks, and custom workflows that make the next person faster.
What We're Looking For:
A Senior Individual Contributor with a high agency. Someone who:
- Owns the full lifecycle. Takes a problem from vague ask to shipped, monitored, and stable in production. Comfortable shaping scope without heavy PM guidance.
- Raises issues early. Catches risks, design drift, and brittle patterns before they reach production - in their own work and in review. Doesn't wait to be asked.
- Picks up slack outside their lane. Steps into incidents, jumps into a teammate's PR queue, and drives an unowned problem when priorities shift.
- Builds in the AI-native space with judgment. Uses agents as a daily driver, knows their failure modes, and pushes the team's practice forward - not just their own.
- Drives delivery. Active in planning and grooming, pushes back on under-specified work, communicates trade-offs clearly to engineering and product partners.
Core Responsibilities
- Ship full-stack features with measurable product impact.
- Provide substantive code review, architectural feedback, not just approvals.
- Serve as a first responder for production issues (within working hours): triage, root cause, and preventive measures recommendations.
- Improve the team's engineering practice over time: tooling, agentic workflows, technical standards, and documentation that lives where work happens.
- Translate product requirements into a technical approach and communicate the reasoning.
Required Experience
- 5+ years building production web applications, with a strong full-stack range (modern React/TypeScript frontends and a typed or Pythonic backend).
- Track record of owning ambiguous problems end-to-end and shipping with measurable impact.
- Substantive code review history - examples of catching architectural issues.
- Active daily use of AI coding agents (Claude Code, Copilot, Cursor, or similar) with a clear point of view on where they help, where they hurt, and how to keep their output reviewable.
- Comfort with production debugging across the stack: traces, logs, profiling, the unglamorous parts.
- Strong async written communication: clear PR descriptions, sharp Slack, sharp specs.
Strong Plus
- Experience extending or building on agentic developer tooling (custom agents, skills, hooks, MCP servers, eval harnesses).
- Background in rich text editing, document collaboration, or LLM-backed product features.
All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process.
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.
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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
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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:
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CRM Campaign Execution & Analysis
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Build, launch, and iterate on campaigns and canvases in Braze across email, push, SMS, and in-app channels.
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Audit existing consumer journeys to identify engagement gaps, drop-off points, and missed messaging opportunities.
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Develop segmentation strategies and personalized comms that improve activation, engagement, and retention.
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Support A/B test design, execution, and readout — translating results into clear, actionable recommendations.
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Maintain performance dashboards and reporting frameworks that make campaign data interpretable for the broader marketing team.
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Track KPIs including DAU, ARPDAU, LTV per user, open rates, click rates, and conversion, and surface insights tied to those metrics.
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Effectively manage our marketing CRM tool to drive new and innovative use cases that can be shared across the team
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Write SQL queries to investigate issues and campaign results using internal data
AI, Automation & Process Optimization
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Identify opportunities to apply AI tools and automation across marketing workflows from copy generation to campaign QA to performance analysis.
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Build and iterate on tools, templates, and agents that reduce manual effort and improve output consistency.
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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
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Partner with marketing, product, data, and engineering teams to align on tooling decisions and ensure smooth implementation.
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Serve as a connector between technical teams and marketing stakeholders, translating requirements in both directions.
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Facilitate adoption of new tools and workflows by developing documentation, training materials, and hands-on support for team members.
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Identify and flag integration risks early; bring concrete mitigation recommendations.
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What We Look for:
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Skills & Competencies
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Hands-on experience building or implementing AI tools, agents, and automation in a professional setting.
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Strong analytical skills, comfortable working with data, running queries, and presenting findings with context.
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Experience in consumer marketing operations, CRM platforms (Braze or similar), or marketing technology stacks; Braze experience is a plus.
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Ability to identify process inefficiencies and develop structured, scalable solutions.
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Excellent written and verbal communication skills, and you can explain technical concepts clearly to non-technical teammates.
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Basic project management skills; organized, proactive, and reliable with deadlines.
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Experience with segmentation, A/B testing, and performance reporting.
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Strong experience in data visualization tools and SQL.
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Ability to prioritize and manage multiple tasks simultaneously
Educational & Professional Experience
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Background in computer science, analytics, engineering, AI, and/or related fields.
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Exposure to business, marketing, finance, or other related fields
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Previous internships or academic projects involving campaign management, marketing analytics, and content creation preferred.
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Professional, academic or personal projects that demonstrate an ability to creatively use AI to create efficiencies.
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Preferred Qualifications:
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Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
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Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
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Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
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Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
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Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
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Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
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Familiarity with cloud-native development using AWS.
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Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
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Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
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Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
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Experience with Golang is a plus (or willingness to learn).
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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
Ready to apply?
Apply to Sezzle