> Markdown version of [/jobs/ext/3849573-ai-developer](https://www.wearedevelopers.com/jobs/ext/3849573-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** GRTLABS, INC. - **Location:** Houston, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** PostgreSQL, Node.Js, Next.js, Pgvector, AI Platforms - **Published:** October 21, 2026 - **Apply:** https://grtlabs.com/cdn-cgi/l/email-protection#650d0009090a25021711090407164b060a085a1610070f00061158242c40575521001300090a150017 ## About the Role * 4+ years of professional software development experience * Hands-on experience building applications on LLM APIs (e.g., OpenAI, Anthropic, or open-source models) * Strong Python skills and working comfort with TypeScript * Practical experience with RAG, embeddings, and at least one vector store (e.g., pgvector) * Experience with tool calling, structured outputs, or agent frameworks * A habit of measuring results: you write evals and tests instead of trusting a few good demos * Clear written communication and the ability to work independently Nice to have * Experience with Next.js or Node.js backends * Familiarity with Postgres and pgvector * Experience deploying and observing AI services in the cloud * Client-facing or consulting experience ## Description We're looking for an AI Developer who enjoys turning large language models into software people can depend on. You'll design and build LLM-powered features and agents for our own products and for client projects. The work covers prompts, tool calling, retrieval, and the evaluations that tell us whether something actually works. You'll work on-site with our team at our Houston office, collaborate closely with the founder, and own what you ship. What you'll do * Design, build, and ship LLM-powered features and agent workflows in Python and TypeScript * Implement tool/function calling so agents take reliable, well-scoped actions * Build and tune retrieval-augmented generation (RAG) pipelines, including chunking, embeddings, and vector search * Create evaluation datasets and automated evals to measure quality, catch regressions, and guide improvements * Work with our application developers to integrate AI features into production web apps, including GRTforms * Monitor cost, latency, and output quality, and make practical trade-offs * Help clients scope AI use cases realistically and explain what's feasible