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 ❯
thinking team building the next generation of microservices platforms. - Continuous learning, we believe, ongoing training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test automation) - Infrastructure: AWS ECS, PostgreSQL, Kafka (migrating from RabbitMQ) - Infrastructure as Code: Terraform (using native AWS services where possible) - CI More ❯
in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. You'll work with cutting-edge frameworks like LangChain, LangGraph, LangFlow, CrewAI, and others to build advanced prototypes that integrate short-term and long-term memory, RAG pipelines, vector databases, and more. Key Responsibilities: Rapidly build and iterate on … and agent-based prototypes for various use cases (chatbots, copilots, A2A task agents, etc.). Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, LangGraph, LangFlow, CrewAI, Autogen etc. Engineer and tune prompts to enhance performance and reliability of generative tasks. Design RAG systems using vector databases (Pinecone, FAISS, Chroma, PosgreSQL etc.) for contextual More ❯
be initially 6 months but likely to extend. In order to be considered for this role you will need to have - Python, SQL, Unix, Cloud (AWS preferred) LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP Servers Front End: some experience with Typescript, REACT Application Servers, web Servers, database Servers, docker Preferred: Some context: Front End (TS/React More ❯
pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token More ❯
pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token More ❯
be initially 6 months but likely to extend. In order to be considered for this role you will need to have - Python, SQL, Unix, Cloud (AWS preferred) LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP servers Front end: some experience with Typescript, REACT Application servers, web servers, database servers, docker Preferred: Some context: frontend (TS/React) and More ❯
with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI. Desirables- Experience with LLMs and conversational AI frameworks (e.g., Rasa, LangChain). Knowledge of emotion detection, prosody modeling, or affective computing. Familiarity with Unity, Unreal Engine, or WebGL for avatar rendering. More ❯
with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and passion for building human-centric AI. Desirables- Experience with LLMs and conversational AI frameworks (e.g., Rasa, LangChain). Knowledge of emotion detection, prosody modeling, or affective computing. Familiarity with Unity, Unreal Engine, or WebGL for avatar rendering. More ❯
pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time API integration Understanding of prompt engineering, token More ❯
