AI Engineer
Role details
Job location
Tech stack
Job description
We now have the opportunity for a Fullstack Software Developer to join our Technology Department., * Design and develop autonomous AI agents and multi-agent systems, leveraging modern frameworks and cloud-native architectures.
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Shape how the team designs and implements agents that orchestrate business workflows, consume information from a business knowledge base, and propose intelligent actions that solve real operational problems.
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Develop and maintain RAG (Retrieval-Augmented Generation) pipelines tailored to IT operations and AIOps use cases and integrate AI agents with external tools and systems.
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Implement observability, tracing, and evaluation mechanisms for AI agents.
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Collaborate with product teams to define: Use cases, Acceptance criteria and Quality metrics for AI-driven solutions
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️ Tech Stack
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LangGraph | AWS Strands Agents | CrewAI | LangChain | Autonomous AI Agents | Multi-Agent Systems | RAG Pipelines | Chunking Strategies | Embeddings | Vector Indexing | Retrieval & Re-ranking | MCP (Model Context Protocol) | REST APIs | AWS Bedrock | AWS Lambda | AWS Step Functions | AWS EventBridge | AWS SageMaker | Vector Databases (pgvector | OpenSearch) | Python 3.10+ | Git | CI/CD Pipelines | Observability & Tracing (LangSmith or similar) | LLM Evaluation | ReAct | Plan-and-Execute | Tool Usage | Human-in-the-Loop Workflows | LLM Guardrails | Semantic Search | EU AI Act Awareness | Serverless Architectures | Networking (AWS) | Test Automation (Unit | Integration | E2E) | Frontend Testing (Jest | Jasmine | Karma | Cypress | Playwright) | API Testing (Postman | Newman | REST Clients) | xRay
Requirements
Do you have experience in Scrum?, Do you have a Master's degree?, * 2+ years of experience in Python development focused on AI/ML or LLM applications.
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Experience building AI agents using frameworks such as LangGraph, CrewAI or similar, plus solid understanding of agentic patterns (ReAct, plan-and-execute, tool usage, human-in-the-loop) or a strong motivation to learn and develop these capabilities quickly.
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Hands-on exposure to RAG pipelines (chunking, embeddings, vector indexing, retrieval, re-ranking) and experience working in AWS serverless environments (Lambda, Step Functions, Bedrock).
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Fluency in English and Spanish.
Soft skills & Mindset
- High learning agility
- Strong ownership mindset: proactive, reliable, and able to deliver high-quality work under changing priorities.
- Clear communication: able to collaborate effectively with both technical and business stakeholders.
- Critical thinking & adaptability: analytical, solution-oriented, and comfortable navigating complex problems in dynamic environments.
Benefits & conditions
Pulled from the full job description
- Paid time off