We’re looking for a Full-Stack AI Engineer who can bridge AI research and production software. You’ll take low-code prototypes and translate them into robust Node.js systems, integrating LLM APIs, building RAG pipelines, and delivering end-to-end AI features.

Responsibilities

Rebuild and extend AI workflows from Base44 prototypes into Node.js/TypeScript applications.
Integrate with LLM APIs (OpenAI, Anthropic, Hugging Face) and orchestration libraries (LangChain.js, LlamaIndex.js).
Design and implement retrieval-augmented generation (RAG) pipelines with vector databases (Pinecone, Weaviate, pgvector).
Build scalable APIs (Express.js, Fastify, or Next.js API routes).
Deploy services on AWS, GCP, or Vercel with best practices for scaling and monitoring.
Optimize for latency, reliability, and cost-efficiency of LLM-powered features.
Collaborate closely with the founder and ML engineers to deliver production-ready AI products.

Qualifications

3+ years of experience in full-stack or backend engineering.
Strong in Node.js/TypeScript, REST/GraphQL API design.
Experience with AI/LLM APIs (OpenAI, Anthropic, Cohere, Hugging Face).
Familiarity with LangChain.js or LlamaIndex.js.
Solid database skills (PostgreSQL, MongoDB, or similar).
Knowledge of embeddings, semantic search, and vector databases.
Comfortable with cloud deployment (AWS/GCP/Azure) and CI/CD pipelines.
Bonus: Frontend experience (React/Next.js, Tailwind) for building user-facing prototypes.
Bonus: Exposure to caching (Redis) and async workflows (queues, workers).

Job Type: Full-time

Pay: $65,000.00 - $100,000.00 per year

Benefits:

Flexible schedule

Experience:

Web development: 3 years (Required)

Ability to Commute:

Sarasota, FL 34236 (Required)

Work Location: Hybrid remote in Sarasota, FL 34236

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Full-Stack AI Engineer (Node.js + LLMs)