8 of 8 LLM Jobs in Northampton

Technical Understanding: Ability to read Python and understand complex software architectures. Infrastructure Knowledge: Professional-level certification in Google Cloud Infrastructure. Agent Experience: Understanding of LLM agents, including prompt engineering and core ADK/NGA concepts (instructions, callbacks, tools). Preferred Qualifications: Leadership Experience: Experience operating at an L7+ level equivalent ...

solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility studies for emerging …/ML or data-driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain ...

solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility studies for emerging …/ML or data-driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain ...

done. This is about building the automation engine. Ideal profile: Strong backend engineering background Experience with Twilio/WhatsApp Business API OpenAI/LLM integration experience Webhooks, queues, and automation workflows Comfortable collaborating with an existing dev team Startup execution mindset We are open to: Equity-based collaboration (initial stage ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you'll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You'll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You'll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

help build and lead a small AI team Core Technical Requirements: · 6–10+ years software engineering experience · 2–4+ years building AI/LLM systems in production · Experience building agentic workflows (tool calling, orchestration, RAG) · Strong backend engineering (Strong in Python essential) · API integrations with enterprise systems · Experience with vector … regulated environments (audit, compliance, governance) · Comfortable working with traders, quants and risk teams Nice to Have: · Human-in-the-loop systems · Trading desk automation · LLM provider-agnostic architecture · Experience moving PoC to Production in enterprise environments ...

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and ...

customer-facing products. You'll own the end-to-end build of production AI systems, from RAG pipelines and multi-agent architectures to LLM integration, fine-tuning, and workflow automation. Core Skills: Python/TypeScript/JavaScript LangChain RAG at scale LLM fine-tuning & model optimisation Agent & multi-agent architectures … Have shipped AI systems into production Think with a Product Manager mindset and drive adoption Can balance speed, cost, and performance across LLM providers Stay current with emerging models and frameworks *Bonus: Voice AI, multimodal systems, open-source contributions Due to high application volume, not all submissions will receive feedback ...