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AI Full Stack Engineer

Wearehaystack — United Kingdom · Posted ~9 hours ago

Skills

Python TypeScript Full-stack development AI application development LLM development RAG Agentic AI REST APIs SQL databases NoSQL databases Vector databases Semantic search Knowledge graphs Cloud technologies Secure infrastructure Production deployment LLM SQL NoSQL Cloud

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Summary ✨ AI‑Generated

A specialist technology organization is seeking an AI Full Stack Engineer to design and build scalable AI applications using Python and TypeScript. You will develop frontend interfaces, backend services, APIs, LLM-powered applications, RAG pipelines, and agentic systems, while working with SQL/NoSQL databases, vector search, semantic search, and knowledge graphs. The role covers the full journey from proof of concept to secure production deployment in technically demanding environments.

Highlights

Work on cutting-edge AI and software engineering challenges in secure, complex environments. Build scalable AI applications from proof of concept through production while working across modern machine learning, cloud, data, and application technologies.

Description

We are working with a specialist technology organisation that excels in delivering cutting-edge AI, software engineering, and data solutions within secure and complex environments. This company is at the forefront of solving challenging technical problems using modern machine learning and cloud technologies, with a strong focus on innovation and deploying scalable solutions for mission-critical settings. The Role Design and develop full-stack AI applications using Python and TypeScript. Build and enhance frontend interfaces, backend services, APIs, and application architectures. Develop and deploy LLM-powered solutions, including RAG pipelines and agentic AI applications. Integrate and manage SQL and NoSQL data stores, ensuring effective data modelling and system performance. Implement vector databases, semantic search capabilities, and knowledge graph solutions. Take AI products from proof of concept through to production-ready deployment, including secure infrastructure and containerised environments. What You'll Need Strong experience as a Full Stack AI Engineer or in a similar AI-focused software engineering role. Advanced capability with Python and TypeScript across frontend and backend development. Hands-on experience with LLMs, RAG architectures, agentic AI, and modern AI frameworks. Strong knowledge of APIs, system integration, application architecture, and database technologies. Experience using Docker and deploying AI solutions within cloud environments such as Azure or GCP. Knowledge of vector databases, semantic search, and knowledge graph technologies. What's On Offer Opportunity to apply AI engineering expertise to innovative, large-scale projects. Work with modern machine learning and cloud technologies. Engage in mission-critical environments. Apply via Haystack today!