Full Stack (AI) Developer (Talent Pool)

Responsibilities:

As a Middle Full stack Engineer, you'll work on well-scoped tasks of moderate complexity, with guidance and code review from senior engineers, contributing to larger AI initiatives owned by the team.
- Develop and integrate AI agents with tool-use, memory, and context management, leveraging LangChain, LangGraph, and LangSmith frameworks, and integrating with foundational Large Language Models (LLMs).
- Integrate LLMs with external tools, APIs, knowledge sources, and enterprise systems.
- Contribute to building retrieval layers (e.g., hybrid search, vector search, metadata filtering) optimized for LLM consumption.
- Stay up to date with modern technologies and best practices for building Gen AI-based applications.

Required skills & knowledge:

- Proficiency in TypeScript and Node.js.
- Good understanding of software design principles, design patterns, and modern development best practices.
- Experience with NoSQL databases; familiarity with vector databases (OpenSearch a plus).
- Familiarity with AI agent workflows (tool-use, memory, and context management), or a strong interest in building them.
- Basic understanding of agentic behaviors and patterns, such as planning, retrieval, and self-correction.
- Exposure to LangChain and/or LangGraph libraries (or a strong willingness to ramp up quickly).
- Understanding of RAG workflows; hands-on experience is a plus.
- Familiarity with evaluation and testing approaches for AI systems.

Nice to have:
- Experience working with a microservices-based architecture.
- Experience with AWS (S3, Lambda, ECS, Bedrock).
- Experience with Docker & Kubernetes.
- Python knowledge.