Ai/Llm Engineer — Python, Langchain, Rag, Aws Lambda (Santa …, Santa Fe de la Vera Cruz

Project Brief We're building AI-powered products, primarily leveraging off-the-shelf LLM APIs, while also partnering with our Applied Science teams to integrate custom models when needed. You'll own end-to-end development of AI features — from prototyping to production — focused on reliability, accuracy, and scalable delivery. Must-Haves
- Strong Python engineering skills and experience delivering production systems
- Hands‑on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end‑to‑end
- Experience with LangChain / LangGraph — including Prompt Engineering, Token Management, and Agent creation with tool‑based workflows
- Experience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCP
- Solid understanding of RAG concepts — retrieval, chunking, embeddings, re‑ranking, and evaluation
- Practical AWS experience, especially AWS Lambda and serverless architecture patterns
- Backend engineering experience: RESTful API design, webhook integration, JWT, pytest, and observability tools like Sentry
- Experience doing Git repository analysis — understanding large codebases, debugging, refactors, and code health
- Comfortable working in fast‑moving product environments with high ownership Nice to Have
- NextJS and TypeScript for frontend components and integration
- AWS CDK for infrastructure‑as‑code and deployment
- Broader AWS services knowledge: S3, CloudWatch, IAM, API Gateway
- Experience with NoSQL databases
- Experience integrating or serving custom models (inference, model endpoints, monitoring)
- Familiarity with evaluation frameworks (offline tests, human feedback loops, regression suites)
- Strong software engineering fundamentals: testing, CI/CD, observability, performance What You Will Do
- Plan and develop applications that include custom AI components — orchestration, evaluation, tooling, and integrations
- Build intelligent agents using LLMs and the MCP framework to enable context‑aware automation and decision‑making
- Automate internal workflows and operational processes using Python and AWS Lambda
- Develop and improve RAG‑based chatbots to increase response accuracy, grounding, and consistency
- Collaborate with Applied Science teams to productionize custom models and connect them with product systems
- Design and maintain multi‑agent AI pipelines, including fallback and graceful degradation strategies for reliability #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qcdud