Senior AI / LLM Engineer
Build production LLM systems, RAG pipelines, and agentic workflows that actually ship.
About the role
We're looking for a Senior AI/LLM Engineer to design and operate intelligent systems in production. You'll work across the full lifecycle - from architecture and evaluation harnesses to deployment and monitoring. This isn't a research role. You'll be building AI systems that run real workflows for real clients, and you'll own the outcome.
What you'll do
Design and implement production RAG systems, LLM pipelines, and multi-agent workflows
Build evaluation frameworks to measure accuracy, hallucination rate, and latency before every deployment
Set up LLMOps infrastructure - logging, monitoring, cost tracking, and model versioning
Work directly with clients to translate business requirements into AI architectures
Conduct code reviews, define engineering standards, and mentor junior engineers
Own end-to-end delivery from architecture to production handover
What we're looking for
4+ years of software engineering experience with 2+ years in production ML or LLM systems
Strong Python skills and experience with LangChain, LlamaIndex, or similar frameworks
Hands-on experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector)
Experience building and evaluating RAG pipelines at production scale
Familiarity with OpenAI, Anthropic, Cohere, or open-source LLM APIs
Strong understanding of prompt engineering, context management, and retrieval strategies
Experience with cloud infrastructure (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)
Nice to have
Not requiredExperience with multi-agent frameworks (AutoGen, CrewAI, LangGraph)
Familiarity with LLMOps tools (Langfuse, Helicone, Phoenix, W&B Weave)
Prior consulting or client-facing project delivery experience
Contributions to open-source AI tooling
What we offer
Work on real production AI systems used by enterprise clients - not internal demos
Senior, small team with direct impact on architecture decisions
Competitive salary with performance-linked bonuses
Remote-friendly with async-first culture
Learning budget (courses, conferences, research papers)
Access to the latest LLM platforms, APIs, and tooling budgets
Equity participation for exceptional contributors
Apply for this role
Send your CV to
our hiring team
Subject line
Application – Senior AI / LLM Engineer
We review every application personally.
Expect a response within 5 business days.
What to include
Your CV or LinkedIn profile
2–3 lines on why this role fits you
Link to something you've shipped (GitHub, app, case study)
Role at a glance
Think you're a good fit?
We read every email. Send your CV and two lines on why you want this role to hr@thinkscoopinc.com