AI Engineer
$80,000–$90,000 year
HybridLondon, England, United Kingdom
Job Summary
Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, and agents to boost internal tools and accelerate developer productivity. Implement and maintain retrieval pipelines with embeddings, vector databases, and hybrid search strategies while developing proof-of-concepts for emerging technologies. Collaborate with Product, Operations, and Engineering teams to translate business requirements into technical solutions, ensuring compliance and scalability across cross-functional partners. Communicate technical tradeoffs clearly and contribute to improving AI development practices through code reviews and knowledge-sharing sessions.
Required Qualifications
- 4+ years of software engineering experience with 2+ years focused on production Generative AI and RAG systems
- Demonstrated experience building and deploying AI systems in production environments
- Strong technical expertise in LLMs, RAG, prompt engineering, embeddings, and vector databases
- Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI, etc.)
- Strong Python development skills and proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude)
- Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes)
- Solid understanding of ML fundamentals, model evaluation, and performance optimization
- Good communication skills with ability to collaborate effectively across teams
- Data engineering capability, including working with datasets, ETL pipelines, and metrics definition
Desired Qualifications
- Experience with agentic workflow systems and complex orchestration patterns
- Background in NLP or contributions to open-source AI/ML projects
- Experience with model fine-tuning or custom training approaches
- Familiarity with MLOps platforms and experiment tracking tools
- Experience with infrastructure as code (Terraform, CloudFormation)
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