Artificial Intelligence Engineer

AI Engineer (AWS Bedrock / Agentic AI / Python / Golang)

Location: Remote (LATAM)

Employment Type: Contract (Long-Term)

About the Role

We are looking for a highly skilled AI Engineer to design and develop next-generation Generative AI applications using the AWS AI ecosystem. You will build intelligent AI agents, evaluation frameworks, and scalable backend services that power enterprise-grade AI solutions.

This role is ideal for engineers who enjoy working with LLMs, AI Agents, Retrieval-Augmented Generation (RAG), prompt engineering, and AI evaluation while building production-ready applications.

Responsibilities

• Design, develop, and deploy Generative AI applications using Amazon Bedrock .
• Build intelligent AI agents using AWS AgentCore and AWS Strands .
• Develop scalable backend APIs and microservices using Python and Go (Golang) .
• Build Retrieval-Augmented Generation (RAG) pipelines.
• Design prompt engineering and prompt optimization strategies.
• Develop AI evaluation frameworks including:
• LLM-as-a-Judge
• Human-in-the-Loop evaluation
• Prompt evaluation
• Model benchmarking
• Implement automated testing and quality assurance for AI applications.
• Work with vector databases and embedding models.
• Collaborate with product managers, architects, and engineering teams to deliver enterprise AI solutions.
• Optimize AI applications for performance, reliability, scalability, and cost.

Required Qualifications

• 5+ years of software engineering experience.
• Strong Python development experience.
• Experience with Go (Golang) .
• Hands-on experience with Amazon Bedrock .
• Experience building Generative AI applications using LLMs.
• Experience with AI Agents and agentic workflows.
• Experience developing REST APIs and backend services.
• Strong understanding of prompt engineering.
• Experience with Git and CI/CD.

Preferred Qualifications Experience with one or more of the following:

• AWS AgentCore
• AWS Strands
• LangChain
• LangGraph
• MCP (Model Context Protocol)
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma, FAISS)
• Knowledge graphs
• AI evaluation tools such as:
• DeepEval
• Ragas
• Promptfoo
• TruLens
• LangSmith
• LLM-as-a-Judge methodologies
• Human evaluation and calibration frameworks
• Prompt evaluation and benchmarking
• AWS Lambda
• ECS/EKS
• Docker
• Kubernetes
• Terraform

Nice to Have

• AI testing and quality engineering experience.
• Experience building AI copilots or AI assistants.
• Experience with observability and monitoring for AI applications.
• Experience working with enterprise-scale cloud environments.

Technologies

• Amazon Bedrock
• AWS AgentCore
• AWS Strands
• Python
• Go (Golang)
• LangChain
• LangGraph
• MCP
• Vector Databases
• Docker
• Kubernetes
• REST APIs
• Git
• CI/CD

What You'll Work On You will be part of a team building enterprise AI solutions that leverage Large Language Models, intelligent AI agents, retrieval systems, and advanced evaluation frameworks to deliver secure, scalable, and production-ready AI applications for enterprise customers.