Full Stack (AI) Developer (Talent Pool)
Pipeline listing This is a talent pool for possible future openings, not a job that is currently open. Applying adds you to the employer's pipeline.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 10h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-11). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 3d ago · last seen 2h ago
The listing
We are looking for a Middle Full Stack Developer to join our team and contribute to the development of AI-powered solutions.
In this role, you’ll work on well-defined tasks of moderate complexity, collaborating with experienced engineers and receiving guidance and code reviews. You’ll contribute to larger AI initiatives and help build reliable, scalable applications powered by modern Generative AI technologies.
Responsibilities:
- 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.