Wetherby, West Yorkshire, Yorkshire, United Kingdom
Equals One Ltd
etc.), supporting prompt design, embeddings, and vector database integration. Data engineering: Work with structured and unstructured datasets, build ingestion and transformation pipelines, and design efficient database schemas (Postgres/NoSQL). Architecture & Design: Contribute to technical decisions across the stack, designing modular and scalable solutions. Code quality: Champion best practices in testing, code reviews, CI/CD, and documentation. Collaboration … 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). Strong understanding of data engineering practices (ETL, schema design, performance tuning More ❯
integration: Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation. Data pipelines: Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL) to support retrieval and analytics. Frontend (React/Next.js): Ship fast, accessible UIs that expose AI features clearly (search, filters, explanations, citations). Architecture: Evolve a modular, scalable platform (ECS …/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 understanding of data engineering practices (ETL, schema design, performance tuning More ❯
LS22, Wetherby, City and Borough of Leeds, West Yorkshire, United Kingdom
Handshaik
integration: Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation. Data pipelines: Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL) to support retrieval and analytics. Frontend (React/Next.js): Ship fast, accessible UIs that expose AI features clearly (search, filters, explanations, citations). Architecture: Evolve a modular, scalable platform (ECS …/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 understanding of data engineering practices (ETL, schema design, performance tuning More ❯
