4 days ago
Base Salary
$110k - $140k/yr
Responsibilities
- Own one or more AI platform components such as model gateways, agent runtimes, evaluation harnesses, guardrail engines, registries, or shared product services.
- Build pipelines that turn production traces and evaluation results into reinforcement learning and fine-tuning datasets.
- Develop infrastructure to train, evaluate, and serve tuned LLMs and SLMs behind shared platform gates.
- Own the reliability, latency, and cost of platform services.
- Provide documented, self-service platform surfaces with sensible defaults for product engineers.
- Co-build shared services with product teams and graduate proven capabilities into platform services.
- Write specifications, harnesses, evaluations, and guardrails while reviewing AI-agent-generated implementations.
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 model gateways, model serving, and vector or retrieval systems.
- Experience building agent systems with orchestration frameworks and understanding tool calling and the Model Context Protocol.
- Experience building or operating evaluation harnesses with golden datasets, CI regression gates, and LLM-judge calibration.
- Experience fine-tuning or post-training models, building associated data pipelines, or reproducing research techniques in production.
- Daily hands-on use of AI coding assistants in development workflows.
- Depth in four or five relevant areas is valued more than surface familiarity with every listed area.
- Preferred experience includes guardrail engines, AI observability, reinforcement learning infrastructure, SLM distillation, multi-tenant SaaS infrastructure, financial or other regulated industries, security engineering, open-source contributions, or deployed agents and evaluation suites.
Benefits
- Base compensation is listed as 110000 to 139992 for the posted location.
- Comprehensive benefits for regular full-time employees may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage or provincial healthcare coordination, retirement savings plans, life and disability insurance, and employee assistance programs.
- Benefits vary by local policy and eligibility in the U.S. and Canada.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.