AI Engineer (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (LLM): Building and shipping agentic AI solutions and RAG pipelines to optimize internal enterprise workflows with an accent on tool-augmented agents and retrieval systems. Focus on integrating AI capabilities into enterprise systems, developing evaluation guardrails, and ensuring production-grade code quality.
Location: London
Company
A global leader in information and analytics that helps researchers and healthcare professionals advance science and improve health outcomes.
What you will do
- Develop and ship production-ready agentic AI solutions and RAG pipelines within defined technical approaches.
- Implement and test tool use, retrieval pipelines, and agent workflows for complex multi-step tasks.
- Contribute to the creation of evaluation frameworks, observability, and guardrails for AI systems.
- Integrate AI capabilities into existing enterprise workflows and systems via APIs and data pipelines.
- Collaborate with host-function stakeholders to ensure solutions fit real-world business workflows.
- Build reusable patterns, reference implementations, and starter kits to enable cross-functional capability building.
Requirements
- 3+ years of software engineering experience with a track record of building LLM-powered applications in production (RAG, agents).
- BS in Engineering, Computer Science, or equivalent.
- Proficiency in Python, Java, TypeScript/JavaScript, and SQL.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong knowledge of CI/CD, modern SDLC, TDD, and code review processes.
- Experience working with relational, columnar, and vector stores.
Culture & Benefits
- Flexible working hours to help balance personal responsibilities and peak productivity.
- Comprehensive pension plan and generous vacation entitlement.
- Option for sabbatical leave and various employee discounts.
- Maternity, Paternity, Adoption, and Family Care leave.
- Personal Choice budget and access to internal communities and networks.
- Global Employee Assistance Program.
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