9 of 9 Permanent 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 ...

scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP. Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training … product features. SME Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills ...

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 ...

models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data ...

solving the \"last mile\" problem in healthcare: enabling doctors and nurses to build their own deterministic, safe agents using natural language. The Engineering Challenge We are building a mission-critical platform where safety, latency, and correctness must coexist in a chaotic real-world environment. Our core technical hurdles include … real time. Key Responsibilities: End-to-End Ownership: Define the architecture, SLAs, and error handling for the core reasoning engine. Real-Time Comms Engineering: Implement streaming voice pipelines, focusing on VAD (Voice Activity Detection), interruption handling, and SIP/WebRTC integrations. Advanced Agent Orchestration: Build planner-executor patterns ...

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 ...

workshops with technical and business stakeholders Represent the organisation's technical capabilities in high-stakes client meetings Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture Build and iterate working AI prototypes quickly Architect scalable, maintainable systems from prototype to production Make sophisticated … 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level AI strategy ...

Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the projection and team Collaborate with cross-functional teams to design, develop, and implement solutions Create … with minimal supervision. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business and understanding customer needs Experience with prompt engineering, machine learning or data science. ...

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 ...