AI Engineer

Hyre Ai; City Of London; Presencial; GBP 70.000 - 120.000; Jornada completa

Descripción de la vacante

Hyre Ai in Central London is seeking an AI Engineer to design and build multi-agent systems, extending our MCP server and developing tooling for evaluation and observability. This is an in-person, permanent role in a fast-moving AI analytics startup.

You will architect agent topologies, manage memory and context, and own the AWS backend (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock) with CI/CD. Strong Python and production-grade GenAI experience are essential.

Formación

• 3–5 years of software engineering, with 2+ years shipping LLM/GenAI systems in production.
• Strong Python, and hands-on experience with an agent framework.
• Production use of LLM APIs, tool calling and structured outputs, plus RAG.
• Experience building LLM evals and observability; solid AWS skills.

Responsabilidades

• Design and evolve multi-agent systems, tool calling, memory and context management.
• Extend the MCP server with new tools and capabilities.
• Build the eval and observability layer with datasets, regression suites, LLM-as-judge.
• Own AWS infrastructure (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock) and CI/CD.
• Guard against prompt injection and cross-tenant data access; mentor teammates.

Conocimientos

Python

LLM/GenAI systems

AWS

Distributed systems design

CI/CD

Mentoring

Herramientas

LangGraph

Strands

CrewAI

OpenAI Agents SDK

Claude Agent SDK

Descripción del empleo

AI Engineer | Agentic Systems & LLM Platform

Central London (In person) | Permanent

We’re hiring on behalf of an AI-first analytics startup whose product runs on a production multi-agent system: Anthropic, OpenAI and Perplexity models orchestrated on AWS, and exposed to customers through the company’s own MCP server.

This is a real AI engineering role, not calling an API from a web app. The platform already has real users. The job is deciding what good looks like and building the agents, evals and infrastructure that get it there, while setting the technical bar for the team.

What you’ll do

• Design and evolve multi-agent systems: agent topologies, tool calling, memory and context management, and the agent harness itself
• Extend the company’s MCP server with new tools and capabilities
• Build the eval and observability layer: golden datasets, regression suites, LLM-as-judge, and cost and latency tracking per model and client
• Own the AWS infrastructure behind it (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock), plus CI/CD and infrastructure as code
• Guard against prompt injection, PII leakage and cross-tenant data access
• Set technical direction, make build-vs-buy calls and mentor other engineers

What we’re looking for

• 3–-5 years of software engineering, including 2+ years shipping LLM or GenAI systems in production
• Strong Python, and hands-on experience with an agent framework (LangGraph, Strands, CrewAI, OpenAI Agents SDK, Claude Agent SDK or similar)
• Production use of LLM APIs, including tool calling and structured outputs, plus RAG (embeddings, vector stores, reranking)
• Experience building LLM evals and observability
• Solid AWS, and system design for distributed, event-driven systems
• A bonus: MCP servers or tools, multi-tenant AI systems, cost optimisation across LLM providers, open-source AI contributions
• Right to work in the UK is a must

If you use AI agents in your own workflow and have strong opinions on how agentic systems should be built, we’d like to hear from you