13 days ago
Responsibilities
- Own one or more AI platform components end to end, including model gateways, agent runtimes, evaluation harnesses, guardrail engines, registries, or shared product services.
- Build pipelines that convert production traces and evaluation verdicts into reinforcement-learning and fine-tuning datasets.
- Train, evaluate, and serve internally tuned LLMs and SLMs alongside vendor models behind common quality gates.
- Own the reliability, latency, cost, and per-product-line cost attribution of platform services.
- Deliver documented, self-service platform surfaces with sensible defaults for product engineers.
- Embed with product teams to develop shared services and graduate proven capabilities into the platform.
- Create evaluation gates that detect regressions before client release and support production adaptation workflows.
Requirements
- Strong production engineering experience with Python, one systems language such as Go or Rust, Kubernetes, infrastructure-as-code, and a major cloud platform.
- Hands-on experience with LLM infrastructure, including model gateways such as LiteLLM or equivalent, model serving such as vLLM or managed endpoints, and vector or retrieval systems.
- Experience building agent systems with an orchestration framework such as LangGraph or first-party agent SDKs, including tool calling and MCP.
- Experience building or operating evaluation harnesses with golden datasets, CI regression gates, and LLM-judge calibration.
- Experience fine-tuning or post-training models, building the supporting data pipeline, or reproducing recent techniques in production systems.
- Daily hands-on use of AI coding assistants in software development.
- Preferred experience with guardrails or AI observability, reinforcement-learning infrastructure, SLM distillation, multi-tenant SaaS, financial or other regulated-industry engineering, security engineering, open-source contributions, or deployed agents and evaluation suites.
Benefits
- Hybrid work across company offices, client sites, and home, with no 100% work-from-home arrangement.
- Core and flexible benefits plus access to the Applaud peer-recognition portal.
- Wellbeing support through Mental Health Champions and apps including Thrive and Peppy.
- Training and development opportunities including thinktanks, hackathons, 250,000 courses, and external certifications.
- Disability Confident Employer Level 2 with an interview commitment for candidates who declare a disability and meet the essential criteria.
- Pre-employment checks include identity, nationality or immigration status, three years of employment history, and an unspent criminal-record check.
Tech Stack
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About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com