Applied AI Research Engineer — London | Equity & Visa

develop; Greater London; In loco; GBP 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Meaningful equity

Visa sponsorship

Relocation support

London office — in person

Descrizione del lavoro

develop is partnering with a well-funded, London-based AI infrastructure company to hire Applied AI Research Engineers. You will study how agentic workflows and retrieval pipelines behave in production, then invent optimisations and ship results into the product.

This is a research-led, engineering-heavy role requiring hands-on implementation, rigorous experimental design, and the ability to translate research into scalable platform capabilities in collaboration with the platform team.

Competenze

• Broad knowledge across the modern AI stack: agent and workflow design, LLM internals, inference and serving.
• Proven research that shipped, or production AI systems at scale.
• Rigorous experimental design and benchmarking; distinguish real gains from noise.

Mansioni

• Reverse-engineer agentic systems to identify compute waste and cost-effective paths.
• Build robust routers that route requests along cheapest/fastest paths without quality loss.
• Design layered proxy evaluations to prove no quality regression.
• Extend automatic optimisation to new techniques and decide what to pursue next.
• Create evaluation harnesses, benchmarks and experiment tooling.
• Turn research into general product capability with the platform team.

Conoscenze

Broad AI stack knowledge

Research-to-production

Experimental design

Strong engineering

Ambiguity tolerance

Descrizione del lavoro

develop is partnering with a well-funded, London-based AI infrastructure company to hire Applied AI Research Engineers. You will study how agentic workflows and retrieval pipelines behave in production, then invent optimisations and ship results into the product.

This is a research-led, engineering-heavy role requiring hands-on implementation, rigorous experimental design, and the ability to translate research into scalable platform capabilities in collaboration with the platform team.