Job Description
Responsabilities:
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- Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows
- Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations
- Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy
- Drive the design, deployment, and ongoing maintenance of secure, scalable, and resilient cloud systems on AWS leveraging ECS Fargate, Lambda, SQS, Aurora, and Neptune
- Own the end-to-end infrastructure lifecycle by embedding robust Infrastructure-as-Code (IaC) and deployment pipelines directly within the development workflow
- Lead, mentor, and inspire a specialized team of Python and TypeScript engineers
- Drive delivery utilizing agile methodologies, balancing rapid AI prototyping with enterprise-grade stability, security, and compliance
- Act as the primary technical liaison between business stakeholders, product managers, and the engineering team to translate strategic goals into technical realities
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Mandatory Skills Description:
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- 10+ years of professional software development experience.
- Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React, serverless execution layers)
- Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain
- Proven track record architecting, provisioning, and managing your own production infrastructure on AWS, specifically utilizing ECS Fargate, Lambda, and SQS
- Experience defining cloud architecture programmatically using advanced Infrastructure-as-Code (IaC) tools like AWS CDK or Terraform (Python/TypeScript preferred)
- Experience managing relational databases (Aurora) alongside graph or vector backends (Neptune)
- Power-user fluency with advanced command-line AI interfaces (Claude Code CLI, GitHub Copilot CLI) with a deep understanding of prompt engineering and context window management
- Seasoned technical leader with professional software engineering experience and a proven track record leading teams to work collectively to deliver solutions on time
- Experience operating in an agile setting, deploying and maintaining AI/LLM applications in a live, enterprise-scale production environment
- Accountable for results, with excellent communication skills to mentor engineers and defuse technical friction
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