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KI

Interim Lead AI Engineer

KI

. Design, build and ship production-grade agentic AI systems for data-driven underwriting and portfolio management tasks end-to-end .

Posted 10/15/2026contractLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying agentic AI systems, with a strong focus on evaluation, observability, and production operations. Possesses a solid foundation in software engineering principles and the ability to translate commercial needs into technical solutions.

Highest-signal resume keywords
Agentic AI ConceptsMulti-Agent OrchestrationProduction Experience with Agentic AI FrameworksSoftware Engineering FundamentalsCloud-Native Deployment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
System DesignSoftware ArchitectureAPI DesignTestingCI/CDCloud-Native DeploymentEvaluation and ObservabilityFailure AnalysisFinOpsHarness / Loop Engineering
Soft Skills
Strong JudgementAutonomous WorkProduct-Minded
Certifications & Qualifications
Bachelor’s Degree in STEM
Industry Keywords
Data-Driven UnderwritingPortfolio ManagementProduction-Grade SystemsCommercial Needs TranslationTrade-Off Reasoning

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Design, build and ship production-grade agentic AI systems for data-driven underwriting and portfolio management tasks end-to-end
  • Own delivery from design through production operation
  • Build and evolve evaluation and observability capabilities, including test harnesses, offline and online evaluations, regression suites, tracing, and fallbacks
  • Ensure safety, reliability, cost and latency are measurable and controlled in production
  • Work directly with underwriters and portfolio managers to understand commercial needs and translate them into product and technical decisions

Requirements

What you’ll need
  • Bachelor’s Degree or higher in a STEM field, or equivalent practical experience
  • Product-minded, demonstrated experience contributing to product direction and vision
  • Strong understanding of agentic AI concepts, including multi-agent orchestration, tool use, memory and context management, RAG, and harness / loop engineering
  • Hands-on production experience with modern agentic AI frameworks, including taking at least one agentic system from design into production and owning evaluation, observability, FinOps, failure analysis and support
  • Excellent software engineering fundamentals, including system design, software architecture, API design, testing, CI/CD, and cloud-native deployment
  • Strong judgement in a fast-moving field and ability to reason about trade-offs under uncertainty
  • Ability to become productive quickly in an unfamiliar codebase and domain, working autonomously with minimal supervision