AI Builder & Agent Engineer

Appnovation Technologies; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Appnovation Technologies is seeking an AI / Agent Engineer to build and evolve the agentic layer of our platform. You will craft MCP servers, tools, skills and graph-RAG pipelines to make documents intelligible to multiple large language models, partnering with product, data and QA to raise answer quality.

You should have 5+ years in software engineering with 2+ years in AI/ML or LLM-based apps, strong Python, and direct experience with MCP servers and RAG systems.

Qualifications

• Bachelor's degree in Computer Science or Engineering or equivalent practical experience.
• 5+ years of software engineering experience, with 2+ years in AI/ML or LLM-based applications.
• Strong Python, with hands-on experience in LLM development and agentic patterns.

Responsibilities

• Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e.g., Claude, Gemini).
• Design and refine the graph-RAG pipeline that transforms documents into agent-friendly representations of facts, entities, and relationships.
• Implement retrieval across multiple tiers (source document, vector-RAG, dense graph) and temporal replay.
• Collaborate with QA on eval-driven improvements to answer quality and factual grounding.
• Write clean, well-tested, production-grade code and participate in code reviews.
• Collaborate closely with product, data, and QA in an agile/sprint model.
• Document designs, prompts, and tool interfaces for maintainability and handover.
• Monitor deployed agents/models, troubleshoot issues, and iterate on performance.
• Stay current with the fast-moving LLM/agent tooling landscape.

Skills

Python

AI/ML

LLM Apps

MCP servers

RAG

Neo4j

PostgreSQL

Git

CI/CD

Problem solving

Education

Bachelor's degree in CS/ENG

Tools

Docker

Vector databases

Embeddings

CI/CD tools

Job description

Appnovation Technologies is seeking an AI / Agent Engineer to build and evolve the agentic layer of our platform. You will craft MCP servers, tools, skills and graph-RAG pipelines to make documents intelligible to multiple large language models, partnering with product, data and QA to raise answer quality.

You should have 5+ years in software engineering with 2+ years in AI/ML or LLM-based apps, strong Python, and direct experience with MCP servers and RAG systems.