or persona-based evaluations. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at More ❯
or persona-based evaluations. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Ada Meher
work on production level LLM/Gen AI projects Strong experience with Python/FastAPI, Node/Typescript or similar Experience with relevant technologies such as OpenAI, LangChain/LangGraph, LlamaIndex Experience with Hugging Face and LoRA/QLoRA for fine-tuning Experience with RAG & Vector DBs eg. FAISS, Weaviate, Pinecone Any experience of MLOps with MLFlow, AWS (SageMaker), CI More ❯
distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions More ❯
GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯
GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯
GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯
SOTA in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability More ❯
drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯
drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and … Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Oliver Bernard
experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with 2-3 days More ❯
scaling beyond one million users. Play a foundational role in growing the engineering team over time, including mentoring and hiring. Nice to Have Experience with orchestration frameworks (e.g., LangChain, LangGraph) and multi-agent workflows. Familiarity with vector databases, RAG pipelines, and lightweight model hosting. Ability to set up data pipelines and feedback loops for improving AI-driven features. Awareness of More ❯
You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement AI-powered tools to automate and enhance HR workflows (e.g., onboarding, employee queries, policy navigation). Design and deploy conversational agents using LangChain … and AutoGen for internal use. Build modular and scalable pipelines using LangGraph for multi-agent orchestration. Integrate RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong More ❯
Datasmoothie is a data analysis solution designed specifically for market researchers.They are part of the Global Data Management Tower within Ipsos and their products offer an all-in-one solutions that helps users create and manage their data pipeline automating More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom Hybrid / WFH Options
Bentley Whitaker Search and Selection
Python/GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can … engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ More ❯
