Infinity Quest
AI Engineer
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Role: AI Principal Engineer
Location: London, UK
Mode: Hybrid
Type: Contract
Job Description:
Principal Engineer – Agentic AI
Role Overview
We are looking for an experienced Principal Engineer to design and deliver AI-driven and Agentic AI solutions at enterprise scale. This is a high-impact role for a hands-on engineer who can combine strong software engineering practices with modern LLMs, AI cloud services, and agent frameworks.
You will help build robust, secure, explainable, and production-ready AI systems while influencing how applied AI creates business value across the organisation.
Key Responsibilities
- Design, develop, and deploy AI-enabled features and agentic workflows that solve real business problems.
- Build production-grade solutions using LLM APIs, cloud AI services, and agent frameworks such as OpenAI and Anthropic.
- Develop agent architectures including reasoning loops, memory, tool use, guardrails, and observability.
- Apply strong engineering, testing, security, and DevOps practices across the AI lifecycle.
- Design and implement AI evaluations (evals) to measure quality, reliability, safety, and regression.
- Work with RAG, embeddings, vector databases, and optimise latency and cost.
- Monitor AI systems in production and manage performance, risks, limitations, and operational reliability.
- Collaborate with product, engineering, and business teams using Agile delivery practices.
- Champion AI-assisted development and continuous engineering improvement.
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Required Skills & Experience
- Strong software engineering background with expert-level Python experience.
- Proven experience building production applications using LLM APIs, such as OpenAI APIs.
- Hands-on experience with Agentic AI / tool-using AI systems, orchestration, memory, and toolchains.
- Experience designing LLM evaluations/evals for quality, safety, reliability, and regression testing.
- Strong understanding of RAG, vector stores, embeddings, and LLM performance/cost trade-offs.
- Experience with cloud-based AI services and modern agent frameworks.
- Strong understanding of AI reliability, guardrails, security, observability, and failure handling.
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Desirable Skills
- Experience with AWS Bedrock, Azure AI Foundry, or similar AI platforms.
- Knowledge of MCP and A2A interoperability standards.
- Experience with Docker, Kubernetes, CI/CD, and modern DevOps tooling.
- Experience transitioning traditional software engineering practices into AI-first development environments.
Ideal Candidate
A curious and hands-on technologist who stays current with AI trends and combines strong engineering fundamentals with a product mindset. You should be collaborative, analytical, security-conscious, and comfortable working in a fast-paced environment where AI technologies evolve rapidly.
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