systems engineers, and product owners to deliver scalable, production-ready solutions. Integrate LLMs and multi-modal models with applications and user interfaces; develop RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB). Develop, deploy, and maintain AI agents using agentic frameworks such as LangGraph, LlamaIndex, or CrewAI. Optimize LLM performance through strategic prompt design and engineering. Distill complex technical … engineers, data scientists, machine learning engineers, and designers Experience integrating LLMs or multi-modal models with applications or user interfaces Experience building RAG systems with vector databases such as Pinecone, Weaviate, or ChromaDB, and embedding models Experience with the development, deployment, or maintenance of AI agents or agentic solutions, including use of agentic frameworks such as LangGraph, LlamaIndex, or CrewAI More ❯
We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from More ❯
Software Engineer – FilmTech Location: Remote (must have Right To Work in The UK) Hours: 10-15 hrs per week minimum commitment Holidays: Unlimited Comp: Equity during the volunteering phase and then competitive salary + benefits after investment Ready to build More ❯
role. What You'll Do Develop and Innovate: Design, write and deploy code for new system architectures, using libraries like LangChain for local LLMs and Milvus/Chroma/Pinecone for vector search to improve user functionality and efficiency with large, local datasets. Build ML Systems: Design, develop, implement, optimize, secure, and test unsupervised ML algorithms and related software to … structures. Programming Experience: Extensive experience with Python, use of containers, version control, backend APIs, ML and generative AI libraries (such as, but not limited to, Ollama, LangChain, Milvus, Chroma, Pinecone), and data management techniques. Communication Skills: Strong oral and written communication abilities are required to effectively discuss technical concepts with both technical and non-technical colleagues. Learning and Adaptability: A More ❯
