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 

Location: Costa Rica

Work Mode: Remote

Job Summary 

As a Senior Software Engineer - AI (19693), 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 

• Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products
• Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
• Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development

Qualifications and Skills 

• 7+ years of experience in backend engineering and distributed systems within production-grade environments
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
• Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
• Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
• Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
• Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
• Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
• Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus

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 

Location: Colombia

Work Mode: Hybrid

Job Summary 

As a Senior Machine Learning Engineer (20529), 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 

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark for large-scale data processing
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
• Experience working with containerized environments and Kubernetes for ML workloads
• Ability to design evaluation metrics and validate model performance effectively
• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

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 

Location: Peru

Work Mode: Hybrid 

Job Summary 

As a Senior Software Engineer - AI (19693), 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 

• Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products
• Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
• Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development

Qualifications and Skills 

• 7+ years of experience in backend engineering and distributed systems within production-grade environments
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
• Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
• Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
• Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
• Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
• Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
• Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus

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 

Location: Bolivia

Work Mode: Hybrid

Job Summary 

As a Senior AI Software Engineer - Go & Python (19693), 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 

• Design and build scalable AI-driven systems focused on cybersecurity and offensive security use cases
• Lead the development of agentic AI solutions for vulnerability detection, automation, and threat intelligence
• Own end-to-end delivery of features from ideation to deployment, ensuring high performance and reliability
• Mentor engineers, lead technical discussions, and collaborate with cross-functional teams to integrate AI capabilities

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend engineering and distributed systems
• Strong experience with AI technologies such as LLMs, RAG, and agent-based systems
• Expert-level proficiency in Go and solid experience with Python
• Strong experience designing microservices, REST APIs, and gRPC services
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Strong knowledge of relational and NoSQL databases
• Experience optimizing LLM performance, including token usage and cost efficiency
• Excellent communication, leadership, and collaboration skills in cross-functional 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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior AI Software Engineer - Go & Python (19693), 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 

• Design and build scalable AI-driven systems focused on cybersecurity and offensive security use cases
• Lead the development of agentic AI solutions for vulnerability detection, automation, and threat intelligence
• Own end-to-end delivery of features from ideation to deployment, ensuring high performance and reliability
• Mentor engineers, lead technical discussions, and collaborate with cross-functional teams to integrate AI capabilities

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend engineering and distributed systems
• Strong experience with AI technologies such as LLMs, RAG, and agent-based systems
• Expert-level proficiency in Go and solid experience with Python
• Strong experience designing microservices, REST APIs, and gRPC services
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Strong knowledge of relational and NoSQL databases
• Experience optimizing LLM performance, including token usage and cost efficiency
• Excellent communication, leadership, and collaboration skills in cross-functional 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.  

Important Information 

Location: Bolivia

Work Mode: Hybrid

Job Summary 

As a Senior Machine Learning Engineer (20529), 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 

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark for large-scale data processing
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
• Experience working with containerized environments and Kubernetes for ML workloads
• Ability to design evaluation metrics and validate model performance effectively
• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

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 

Location: Colombia

Work Mode: Hybrid

Job Summary 

As a Senior AirTable Engineer (20187), 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 

• Design, architect, and maintain scalable Airtable solutions and data models to support core business processes such as loan origination, underwriting, and operations
• Develop advanced automations, scripts, and integrations using Airtable Scripting, JavaScript, and external APIs
• Integrate Airtable with third-party systems including CRM, financial platforms, and data tools to enable seamless workflows
• Ensure data governance, system performance, and scalability while collaborating with cross-functional teams to deliver efficient and reliable solutions

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 5+ years of experience designing and implementing complex Airtable architectures in production environments
• Strong expertise in data modeling, relational database design, and scalable workflow architecture
• Proficiency in JavaScript for scripting, automation, and integrations
• Experience working with RESTful APIs, webhooks, and middleware tools such as Zapier or Make
• Hands-on experience integrating Airtable with external systems such as CRM platforms, financial systems, or document management tools
• Strong understanding of data governance, permissions, and enterprise-level system design
• Experience optimizing system performance and handling high-volume transactional workflows
• Strong problem-solving, communication, and stakeholder management skills
• Experience in fintech, lending, or financial systems and familiarity with tools like Salesforce is a plus

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 

Location: Bolivia

Work Mode: Hybrid

Job Summary 

As a Senior AirTable Engineer (20187), 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 

• Design, architect, and maintain scalable Airtable solutions and data models to support core business processes such as loan origination, underwriting, and operations
• Develop advanced automations, scripts, and integrations using Airtable Scripting, JavaScript, and external APIs
• Integrate Airtable with third-party systems including CRM, financial platforms, and data tools to enable seamless workflows
• Ensure data governance, system performance, and scalability while collaborating with cross-functional teams to deliver efficient and reliable solutions

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 5+ years of experience designing and implementing complex Airtable architectures in production environments
• Strong expertise in data modeling, relational database design, and scalable workflow architecture
• Proficiency in JavaScript for scripting, automation, and integrations
• Experience working with RESTful APIs, webhooks, and middleware tools such as Zapier or Make
• Hands-on experience integrating Airtable with external systems such as CRM platforms, financial systems, or document management tools
• Strong understanding of data governance, permissions, and enterprise-level system design
• Experience optimizing system performance and handling high-volume transactional workflows
• Strong problem-solving, communication, and stakeholder management skills
• Experience in fintech, lending, or financial systems and familiarity with tools like Salesforce is a plus

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 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior AirTable Engineer (20187), 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 

• Design, architect, and maintain scalable Airtable solutions and data models to support core business processes such as loan origination, underwriting, and operations
• Develop advanced automations, scripts, and integrations using Airtable Scripting, JavaScript, and external APIs
• Integrate Airtable with third-party systems including CRM, financial platforms, and data tools to enable seamless workflows
• Ensure data governance, system performance, and scalability while collaborating with cross-functional teams to deliver efficient and reliable solutions

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 5+ years of experience designing and implementing complex Airtable architectures in production environments
• Strong expertise in data modeling, relational database design, and scalable workflow architecture
• Proficiency in JavaScript for scripting, automation, and integrations
• Experience working with RESTful APIs, webhooks, and middleware tools such as Zapier or Make
• Hands-on experience integrating Airtable with external systems such as CRM platforms, financial systems, or document management tools
• Strong understanding of data governance, permissions, and enterprise-level system design
• Experience optimizing system performance and handling high-volume transactional workflows
• Strong problem-solving, communication, and stakeholder management skills
• Experience in fintech, lending, or financial systems and familiarity with tools like Salesforce is a plus

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 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior AI Software Engineer - Go & Python (19693), 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 

• Design and build scalable AI-driven systems focused on cybersecurity and offensive security use cases
• Lead the development of agentic AI solutions for vulnerability detection, automation, and threat intelligence
• Own end-to-end delivery of features from ideation to deployment, ensuring high performance and reliability
• Mentor engineers, lead technical discussions, and collaborate with cross-functional teams to integrate AI capabilities

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend engineering and distributed systems
• Strong experience with AI technologies such as LLMs, RAG, and agent-based systems
• Expert-level proficiency in Go and solid experience with Python
• Strong experience designing microservices, REST APIs, and gRPC services
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Strong knowledge of relational and NoSQL databases
• Experience optimizing LLM performance, including token usage and cost efficiency
• Excellent communication, leadership, and collaboration skills in cross-functional 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.  

Important Information 

Location: Bolivia

Work Mode: Hybrid 

Job Summary 

As a Senior Software Engineer - AI (19693), 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 

• Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products
• Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
• Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development

Qualifications and Skills 

• 7+ years of experience in backend engineering and distributed systems within production-grade environments
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
• Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
• Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
• Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
• Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
• Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
• Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus

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 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior Machine Learning Engineer (20529), 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 

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark for large-scale data processing
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
• Experience working with containerized environments and Kubernetes for ML workloads
• Ability to design evaluation metrics and validate model performance effectively
• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

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 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior AirTable Engineer (20187), 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 

• Design, architect, and maintain scalable Airtable solutions and data models to support core business processes such as loan origination, underwriting, and operations
• Develop advanced automations, scripts, and integrations using Airtable Scripting, JavaScript, and external APIs
• Integrate Airtable with third-party systems including CRM, financial platforms, and data tools to enable seamless workflows
• Ensure data governance, system performance, and scalability while collaborating with cross-functional teams to deliver efficient and reliable solutions

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 5+ years of experience designing and implementing complex Airtable architectures in production environments
• Strong expertise in data modeling, relational database design, and scalable workflow architecture
• Proficiency in JavaScript for scripting, automation, and integrations
• Experience working with RESTful APIs, webhooks, and middleware tools such as Zapier or Make
• Hands-on experience integrating Airtable with external systems such as CRM platforms, financial systems, or document management tools
• Strong understanding of data governance, permissions, and enterprise-level system design
• Experience optimizing system performance and handling high-volume transactional workflows
• Strong problem-solving, communication, and stakeholder management skills
• Experience in fintech, lending, or financial systems and familiarity with tools like Salesforce is a plus

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 

Location: Colombia

Work Mode: Hybrid 

Job Summary 

As a Senior Software Engineer - AI (19693), 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 

• Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products
• Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
• Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development

Qualifications and Skills 

• 7+ years of experience in backend engineering and distributed systems within production-grade environments
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
• Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
• Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
• Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
• Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
• Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
• Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus

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: 19693

Job Summary

We are looking for a Senior Software Engineer (AI) to take a hands-on lead in designing and building cutting edge, AI centric systems tailored for the offensive security sector. In this role, you will directly drive product innovation at the intersection of AI and cybersecurity. You will lead by example, mentor junior engineers, and promote a culture of ownership, technical excellence, innovation, and continuous improvement.

Responsibilities and Duties

• Design, implement, and deliver scalable AI centric software systems;
• Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, optimizing workflows, and enhancing threat intelligence;
• Own and lead the end to end development of product features — from ideation to production deployment and ongoing monitoring;
• Actively contribute to the design and implementation of AI enabled systems while promoting effective SDLC practices;
• Lead technical discussions, code reviews, and design sessions, sharing your expertise to elevate the team’s technical capabilities;
• Provide mentorship and support to junior engineers, fostering professional growth and development;
• Collaborate closely with cross functional teams to integrate AI capabilities into broader systems and applications.

Essential Skills

• Experience in distributed systems and backend software engineering;
• Experience with AI technologies such as LLMs, RAG, MCP, etc;
• Excellent understanding of token usage optimization and LLM cost optimization strategies;
• Expert-level knowledge of Go and solid hands-on experience with Python;
• Strong experience with microservices, REST API design, gRPC, unit testing, and BDD testing;
• Strong software design skills; UML familiarity is a plus. Exposure to Domain-Driven Design (DDD) is desirable;
• Experience with asynchronous messaging technologies such as Google Pub/Sub or Kafka;
• Deep knowledge of NoSQL and relational databases;
• Strong experience with Docker, Kubernetes, and cloud platforms (GCP preferred);
• Experience working in agile environments;
• Experience building and scaling microservice based applications.
• Proven ability to thrive in a collaborative environment with diverse stakeholders and subject matter experts.

Highly Desirable Skills

• Experience working in a fast paced startup environment;
• Experience in cybersecurity or offensive security tools.

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 

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

Job Summary

We are looking for a Senior Software Engineer (AI) to take a hands-on lead in designing and building cutting edge, AI centric systems tailored for the offensive security sector. In this role, you will directly drive product innovation at the intersection of AI and cybersecurity. You will lead by example, mentor junior engineers, and promote a culture of ownership, technical excellence, innovation, and continuous improvement.

Responsibilities and Duties

• Design, implement, and deliver scalable AI centric software systems;
• Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, optimizing workflows, and enhancing threat intelligence;
• Own and lead the end to end development of product features — from ideation to production deployment and ongoing monitoring;
• Actively contribute to the design and implementation of AI enabled systems while promoting effective SDLC practices;
• Lead technical discussions, code reviews, and design sessions, sharing your expertise to elevate the team’s technical capabilities;
• Provide mentorship and support to junior engineers, fostering professional growth and development;
• Collaborate closely with cross functional teams to integrate AI capabilities into broader systems and applications.

Essential Skills

• Experience in distributed systems and backend software engineering;
• Experience with AI technologies such as LLMs, RAG, MCP, etc;
• Excellent understanding of token usage optimization and LLM cost optimization strategies;
• Expert-level knowledge of Go and solid hands-on experience with Python;
• Strong experience with microservices, REST API design, gRPC, unit testing, and BDD testing;
• Strong software design skills; UML familiarity is a plus. Exposure to Domain-Driven Design (DDD) is desirable;
• Experience with asynchronous messaging technologies such as Google Pub/Sub or Kafka;
• Deep knowledge of NoSQL and relational databases;
• Strong experience with Docker, Kubernetes, and cloud platforms (GCP preferred);
• Experience working in agile environments;
• Experience building and scaling microservice based applications.
• Proven ability to thrive in a collaborative environment with diverse stakeholders and subject matter experts.

Highly Desirable Skills

• Experience working in a fast paced startup environment;
• Experience in cybersecurity or offensive security tools.

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 

Location: Costa Rica

Work Mode: Hybrid

Job Summary 

As a Senior Machine Learning Engineer (20529), 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 

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark for large-scale data processing
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
• Experience working with containerized environments and Kubernetes for ML workloads
• Ability to design evaluation metrics and validate model performance effectively
• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

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 

Location: Colombia

Work Mode: Hybrid

Job Summary 

As a Senior AI Software Engineer - Go & Python (19693), 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 

• Design and build scalable AI-driven systems focused on cybersecurity and offensive security use cases
• Lead the development of agentic AI solutions for vulnerability detection, automation, and threat intelligence
• Own end-to-end delivery of features from ideation to deployment, ensuring high performance and reliability
• Mentor engineers, lead technical discussions, and collaborate with cross-functional teams to integrate AI capabilities

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend engineering and distributed systems
• Strong experience with AI technologies such as LLMs, RAG, and agent-based systems
• Expert-level proficiency in Go and solid experience with Python
• Strong experience designing microservices, REST APIs, and gRPC services
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Strong knowledge of relational and NoSQL databases
• Experience optimizing LLM performance, including token usage and cost efficiency
• Excellent communication, leadership, and collaboration skills in cross-functional 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.  

Important Information 

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

Job Summary

We are seeking a Senior Airtable Engineer with a proven track record in designing, architecting, and scaling mission-critical business systems built on Airtable. This is a hands-on technical role focused on building and maintaining robust, secure, and scalable Airtable-based operational platforms that power loan origination, underwriting, servicing, and internal workflows. The ideal candidate combines strong Airtable architecture expertise with automation, API integrations, third- party software integrations, data modeling, and process design skills, and can collaborate closely with cross-functional teams to translate business requirements into elegant, efficient, scalable systems.

Responsibilities and Duties

• Design, architect, and maintain scalable Airtable bases and data models supporting loan origination, underwriting, servicing, capital markets, and operations;
• Build advanced Airtable automations, scripts, and integrations using Airtable Scripting, JavaScript, and APIs;
• Develop and maintain integrations between Airtable and third-party systems (e.g., CRM, loan management systems, document management platforms, accounting systems, and data warehouses);
• Propose and deploy best-in-class third-party software integrations to support required business workflows and technical programming that are limited using native Airtable functionality exclusively
• Implement data governance standards including permissions, access control, field-level security, naming conventions, and documentation;
• Optimize Airtable performance, scalability, and reliability for high-volume transactional workflows;
• Collaborate closely with Operations, Capital Markets, Finance, Data & Quality, and Engineering teams to gather requirements and implement scalable solutions;
• Support system monitoring, troubleshooting, and ongoing enhancements.

Essential Skills

• Experience designing and implementing complex Airtable architectures in production environments;
• Deep expertise in data modeling and relational database design, automations and scripting using JavaScript, Interfaces and advanced workflow design, and permissions, governance, and enterprise-level structure;
• Strong understanding of API integrations (RESTful APIs, webhooks, middleware such as Zapier and Make);
• Proficiency in JavaScript for automation and integration scripting;
• Experience integrating Airtable with external systems such as CRM platforms, loan management systems, accounting software, or document storage systems.

Highly Desirable Skills 

• Experience building fintech, lending, or financial operations systems;
• Experience with Salesforce CRM and integration;
• Experience designing operational systems for loan origination or underwriting workflows.

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.