and version control best practices Ability to write clean, efficient, and reusable code Strong communication and collaboration skills Desirable: Experience with LLM tools (e.g. LangChain) Background in ML Ops, serverless/containerised infrastructures (e.g. Kubernetes, SageMaker) Send across your latest CV to apply More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
AI Agents Solution Architect - Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML More ❯
agents, and semantic search. The engineer will work across the full stackfrom prompt engineering and memory management to UI and cloud deploymentusing tools like LangChain, CrewAI, and vector databases click apply for full job details More ❯
Liverpool, Merseyside, United Kingdom Hybrid / WFH Options
TEKsystems
various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI, and Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases like Pinecone, Chroma … Essential Skills Proficiency in Python programming. Experience in building multi-step intelligent systems. Knowledge of machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. More ❯
agents, and semantic search. The engineer will work across the full stackfrom prompt engineering and memory management to UI and cloud deploymentusing tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots, A2A agents). Implement multi-step reasoning … memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent More ❯
