Artificial Intelligence Engineer

Techmunity; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A dynamic startup in London is seeking an Applied AI Engineer to design and implement LLM-powered systems and workflows. This role offers a unique opportunity to influence the company's direction while collaborating closely with product teams. Ideal candidates have over 5 years in software engineering and experience in applied AI. This position allows for a hybrid work model, combining office presence in Shoreditch with flexibility for remote work.

Qualifications

• 5+ years in software engineering, with 1–3 years building applied AI/LLM features.
• Experience with LangChain, LangGraph, or PydanticAI.
• Strong grounding in prompt design and optimisation techniques.

Responsibilities

• Design and deploy LLM-powered agents for automating workflows.
• Build orchestration infrastructure using frameworks like LangGraph.
• Create evaluation strategies with real-world inputs.

Skills

Software engineering

Applied AI/LLM features

LangChain

Prompt design

Python

Tools

FastAPI

AWS

BigQuery

Job description

Overview

If you’ve ever wanted to join a startup just before it breaks out, this is that moment. Backed by elite investors, this company is already winning enterprise contracts with household name brands. Their product is redefining how global teams discover, understand, and act on information, making knowledge workflows faster, smarter, and more valuable.

Why this role matters: As their Applied AI Engineer, you won’t be in the background. You’ll be the one shaping how generative AI gets applied in the real world - designing intelligent agents, scalable workflows, and retrieval systems that will form the backbone of the product. The features you build will directly drive revenue and adoption, with your fingerprints all over the company’s trajectory heading into Series A.

What you’ll be working on

• Designing and deploying LLM-powered agents to automate complex, multi-step workflows.
• Building orchestration infrastructure with frameworks like LangGraph or PydanticAI.
• Creating evaluation strategies with real-world signals and human-in-the-loop testing.
• Developing RAG pipelines (Qdrant, Weaviate, etc.) for contextual awareness and retrieval.
• Integrating OpenAI, Anthropic, Hugging Face APIs into production-grade systems.
• Collaborating closely with product and design to ship AI-driven features that customers love.

You’ll operate across the stack: Python, FastAPI, backend services, orchestration frameworks, and cloud infrastructure (AWS, BigQuery).

Who you are

• 5+ years in software engineering, with 1–3 years building applied AI/LLM features.
• You’ve shipped production systems in early-stage startups (seed to Series A).
• Experience with LangChain, LangGraph, or PydanticAI.
• Strong grounding in prompt design, LLM evaluation, and optimisation techniques (KV caching, sampling strategies, etc.).
• A first-principles thinker who thrives in greenfield environments.
• Hybrid setup – join the Shoreditch office a couple of times a week, work remotely the rest.
• Career trajectory – this role positions you to become a founding voice in the AI team as the company scales post-Series A.
• Exposure to world-class peers
• Impact – what you build will be used by global enterprises from day one.

This isn’t just another AI role. It’s a chance to help define how applied AI gets built and scaled in one of the most exciting startups in London.

If you’re ready to make your next move truly career-defining, let’s talk - apply now or email [e-mail]

Seniorities

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Software Development

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