3 of 3 Permanent FastAPI Jobs in Wetherby

a key role in the companys journey towards achieving its business milestones. Responsibilities (including but not limited to): Backend development: Design, build, and maintain APIs and services using Python (FastAPI), integrating with AI models and data platforms. Frontend development: Deliver responsive, performant, and accessible user interfaces with React/Next.js. AI integration: Implement and maintain connections to LLMs and ML … hardworking and dedicated, with an entrepreneurial/ownership mindset, strong communication skills and a team player 5+ years of professional experience in full-stack development. Strong proficiency in Python (FastAPI) and React/Next.js . Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). More ❯

solving real customer problems, and playing a key role in the company s journey towards achieving its business milestones. Responsibilities (including but not limited to): Backend APIs (Python/FastAPI): Build reliable, secure services that power AI features and data retrieval at scale. RAG & vector search: Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops). … vectors). Strong grasp of chunking strategies, metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics). Strong proficiency in Python (FastAPI) and React/Next.js. Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). Strong More ❯

solving real customer problems, and playing a key role in the company’s journey towards achieving its business milestones. Responsibilities (including but not limited to): Backend APIs (Python/FastAPI): Build reliable, secure services that power AI features and data retrieval at scale. RAG & vector search: Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops). … vectors). Strong grasp of chunking strategies, metadata, indexing, recall/precision trade-offs, reranking, and evaluation (ground-truth sets, offline/online metrics). Strong proficiency in Python (FastAPI) and React/Next.js. Solid experience with SQL and NoSQL databases (e.g., Postgres, DynamoDB). Experience working with AI/ML models and APIs (LLMs, embeddings, vector search). Strong More ❯