4 of 4 Remote/Hybrid Prompt Engineering Jobs in Exeter

model serving Build intuitive user interfaces Develop scalable backend systems using Python and Go for model inference, data pipelines, and API services Develop sophisticated prompt engineering strategies for LLM-based features, including few-shot learning, chain-of-thought reasoning, and retrieval-augmented generation Optimize models for specific … business requirements into technical solutions What We're Looking For 2+ years of professional full-stack development experience with AI/ML systems Strong engineering skills across frontend and backend technologies Proficiency with modern frontend frameworks (React, Vue, Angular) and TypeScript Backend experience with Python, including API design (REST ...

enterprise-grade delivery An internal AI capability that stays inside the business, not lost to vendors Who we're looking for Experience in AI engineering, automation, workflow engineering, or software development, with real projects shipped to production Hands-on experience building AI-powered products, not just prototypes, from … 4.1, Gemini, or open-source models Experience with LLM orchestration frameworks and agent-based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks) Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows Experience integrating AI into real systems, APIs, event-driven architectures, data pipelines ...

Aveni, you will be a key technical leader in pre-sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI-powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. … Aveni's AI/LLMs meet their needs; help them navigate trade-offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug-fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g. architecture ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...