Senior Forward Deployed Engineer
asks, and making it reusable through Accio, our centralised MCP server. The most advanced work is investment engineering... such as relative-value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through
Assistant Manager, Manager, Data Scientist
AI architectures, plus familiarity with MCP and A2A communication frameworks. Proficiency in Python (or equivalent programming
VP Development
and MCP tooling, alongside cloud-native development, MLOps and platform integration. What you'll do Lead development... for AI application development and agentic systems. Establish practical implementation patterns for AI orchestration frameworks and MCP
Lead AI Engineer
protection requirements Develop the agent runtime (the harness). Cover orchestration, tool calling, MCP integrations, multi
Fullstack Engineer
to have Next.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform
Full Stack Engineer
orchestration pipelines, integrating with foundation model APIs, and building tool servers (e.g. MCP) that connect AI agents
Data Engineering Manager
vendor relationships and contract renewals for data tooling. Exposure to Model Context Protocol (MCP) servers or similar
Senior Full Stack Engineer / Lead
, and MCP servers - to accelerate both internal tooling and customer touchpoints. You'll join an existing Senior Full-Stack... LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers to expose internal data to AI agents, and prototyping
MLOps Engineer
wheel. Build the infrastructure that lets AI tools and agents (including Claude, MCP services and knowledge bases) access... around you. Nice to have: Streaming or event-driven systems for real-time inference. LLM and agent infrastructure (MCP, retrieval
Client Service Delivery Specialist
or agent-based tooling. Understanding of AI agent architectures and the technologies that underpin them, such as MCP, tool
Senior Data Engineer
Protocol (MCP) servers or similar agent tooling. Experience in property, marketplaces or other data-rich consumer businesses
Customer Success Intern
, Jupyter Notebooks, or collaborative development tools is desirable. · Experience with LLMs, SLMs, AI Agents and MCP servers
IT Support Specialist
educational qualifications Additional trainings for Microsoft (MCP level) and Cisco Meraki 3 Years work experience in the IT
Client Solutions Principal (Application Modernisation)
or Iceberg Production applied AI experience, such as RAG pipelines, evaluation, or MCP and agentic work you can talk through
Client Solutions Principal (Application Modernisation)
or Iceberg Production applied AI experience, such as RAG pipelines, evaluation, or MCP and agentic work you can talk through
Data Engineering Manager
vendor relationships and contract renewals for data tooling. Exposure to Model Context Protocol (MCP) servers or similar
Core Architect & Integration Lead — Applied AI
Own the access layer (native connectors, MCP servers, Databricks US/EU) using short-lived tokens, least-privilege read
Client Solutions Principal (Application Modernisation)
or Iceberg Production applied AI experience, such as RAG pipelines, evaluation, or MCP and agentic work you can talk through
Client Service Delivery Specialist
or agent-based tooling. Understanding of AI agent architectures and the technologies that underpin them, such as MCP, tool
AI Software Engineer
also be required to build tools in Python and use emerging technologies such as MCP. Skills & experience AI Application Development: Design..., CoT (Chain or Thought), ensemble models, fine tuning models, RLHF, Agentic workflow and MCP. Full Stack Engineering