Technical Insight AI Agent Engineer

2 days ago

London Area, United Kingdom European Tech Recruit Full time £45,000 - £80,000 per year

Technical Insight AI Agent Engineer

Location
London (Onsite)

Contract
12 months + strong possibility of extension

Client
A leading global technology research organisation

Job Summary

Our client is seeking a
Technical Insight AI Agent Engineer
to design, develop and maintain intelligent systems that retrieve, analyse and summarise technical information from a wide range of internal and external sources. This role plays a key part in enabling data-driven decision-making, identifying emerging technology trends and supporting high-level strategic initiatives.

This is an excellent opportunity for a
strong MSc graduate or early-career PhD
with hands-on agent system development experience who wants to work in an advanced research environment.

Key Responsibilities


• Design and implement systems that extract structured and unstructured data from internal repositories (web pages, documents, knowledge bases) and external sources (websites, research papers, APIs)


• Develop
multi-agent architectures
for complex multi-step tasks, including agent role definition, goal planning, sub-task decomposition, tool integration, state management and long-chain reasoning


• Build agent pipelines that retrieve, analyse and summarise technical content into
high-accuracy

insights and reports


• Deliver production-grade AI agent solutions such as intelligent assistants or insight-generation tools


• Collaborate with research, engineering and strategy teams to support technical intelligence workflows


• Perform any additional duties reasonably required to support project objectives

Required Qualifications & Experience


• Bachelor's or Master's degree in Computer Science or related field (PhD welcomed)


• 2+ years of hands-on experience building AI agent systems, especially multi-agent workflows


• Practical experience with agent development frameworks such as
LangChain, AutoGen,

LlamaIndex
, etc


• Strong proficiency in
Prompt Engineering
and
Context Engineering


• Working experience with
RAG (Retrieval-Augmented Generation)


• Excellent programming skills (Python preferred)


• Solid software engineering background with experience delivering production-quality systems

Desired Skills


• Experience working with technical insights or analysing engineering/AI/ICT domains


• Familiarity with DevOps and CI/CD pipelines


• Knowledge of cloud platforms and containerisation technologies (Docker, Kubernetes)


• Additional language skills are a plus

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