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# Software Engineer (Agentic)

- **Company:** Oho Group Ltd
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Python (Programming Language), Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, Build Management, Low Latency, Build Tools, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/software-engineer-agentic/54879771

## About the Role

Strong software engineering fundamentals and experience building production-quality systems
Strong experience with Python , or another modern programming language
A genuine interest in LLMs, agentic AI and the future of AI-powered software
Experience building with LLMs, AI agents or agent frameworks - professionally or through serious personal projects
An understanding of concepts such as tool calling, RAG, agent orchestration, context management or multi-agent systems
Strong problem-solving ability and the desire to work on technically difficult, ambiguous problems
The ability to learn quickly and work across both established engineering practices and rapidly evolving AI technology

## Description

We're partnering with a well-funded technology company building AI agents that can reason, use tools, interact with systems and solve complex problems autonomously .
They're looking for a Software Engineer who wants to work at the cutting edge of agentic AI - designing, building and deploying the systems that allow AI agents to operate reliably in real-world environments.
This isn't a role where you'll simply be wrapping an LLM API around an existing product. You'll be working on the engineering and architecture behind intelligent agents , figuring out how they should reason, interact with tools, retain context, coordinate tasks and operate reliably at scale.
What you'll get to do
Design and build AI agents capable of completing complex, multi-step tasks
Develop agent architectures covering reasoning, planning, tool use, memory and decision-making
Build systems that allow agents to interact with APIs, databases, external services and other software
Experiment with different approaches to agent orchestration and multi-agent systems
Build evaluation frameworks to understand how agents perform and continuously improve their reliability
Work on agent workflows, context management, retrieval and LLM infrastructure
Turn research and experimentation into robust, production-quality software
Solve challenging problems around agent reliability, autonomy, latency and scalability
Work closely with highly capable engineers and researchers across AI and software
Have significant influence over the architecture and technical direction of the platform