Deep AI/Agentic Engineer

1 week ago

London Area, United Kingdom ConSol Partners Full time

Our client are a private equity backed firm who are looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm's long-term engineering capability.

Responsibilities:

You will design and build production-grade AI systems across:

  • LLM applications
    using modern orchestration patterns, prompt frameworks, and evaluation loops.
  • Multi-agent architectures
    , including planning, delegation, safety constraints, and monitoring.
  • Retrieval & vector-based systems
    , embeddings, structured reasoning, and semantic workflows.
  • Ontology & knowledge modelling literacy
    , enabling more precise reasoning and data alignment.
  • Integrations & automation
    , including API workflows, tools, and enterprise connectors.

Skills:

  • 6–8 years in Software/ application engineering, AI engineering, or applied data engineering.
  • Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores.
  • Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns.
  • Proficiency in Python, including ability to build production-grade workflows.
  • Experience with at least one cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, Anthropic, AWS etc.).
  • Familiarity with semantic modelling, ontologies, or knowledge graph thinking - literacy required, mastery a bonus.

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