2 дня назад
Principal Software Engineer / Principal AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer / Principal AI Engineer (Agentic AI/LLMs): Building and taking enterprise AI prototypes and intelligent systems from discovery through production with an accent on LLM orchestration, retrieval, tool use, and secure enterprise integration. Focus on designing reusable AI architectures, production guardrails, data governance, cloud infrastructure, and measurable outcomes across innovation squads.
Location: London Wall, London, United Kingdom
Company
provides information, analytics, and data-driven solutions for science, research, healthcare, education, and clinical practice.
What you will do
- Lead technical execution for an embedded Innovation Squad from discovery through production.
- Build, assess, and harden AI prototypes and proofs of concept, then deliver validated solutions.
- Design reusable agentic AI patterns covering orchestration, tool use, memory, retrieval, and production guardrails.
- Integrate AI capabilities with enterprise systems through APIs, data pipelines, cloud infrastructure, and managed AI/ML services.
- Codify solutions into reusable patterns, reference implementations, and starter kits for adoption across functions.
- Set technical direction, manage scope and dependencies, advise on infrastructure and budgets, and mentor engineers.
Requirements
- 10+ years of software engineering experience, including hands-on AI system design, development, or integration and taking enterprise AI prototypes to production.
- Experience with LLM orchestration, prompt engineering, context-window management, MCP, tool-augmented agents, and enterprise-scale RAG.
- Strong enterprise integration, security, data governance, data residency, and architectural design experience.
- Proficiency with AWS, Azure, or GCP and managed AI/ML services.
- Experience with Python, Java, TypeScript/JavaScript, SQL, AI SDKs, Agile, CI/CD, modern SDLC, and TDD.
- BS in Engineering, Computer Science, or an equivalent discipline; advanced degree preferred.
Culture & Benefits
- Flexible working hours supporting work-life balance.
- Comprehensive pension plan and generous vacation entitlement.
- Sabbatical leave and family-care benefits, including maternity, paternity, adoption, and family-care leave.
- Study assistance, wellbeing initiatives, personal choice budget, and employee assistance program.
- Internal communities and networks, employee discounts, and recruitment introduction reward.
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