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A global technology firm is seeking an experienced professional to design and implement end-to-end GenAI features, develop robust models, and optimize multi-agent systems. You will collaborate with various teams to ensure safety and regulatory compliance while mentoring mid-level engineers. Ideal candidates will have a strong background in API development, tool integration, and performance tuning, with a focus on creating reliable and scalable solutions.
Design & Build: Implement end-to-end GenAI features (e.g., RAG, agents/tools, function calling, multimodal pipelines), including scalable APIs and services.
Prompt & Model Engineering: Develop robust prompting strategies, fine-tune or adapt models (LoRA/QLoRA/PEFT), and optimize inference (quantization, caching, distillation).
Multi-Agent System Design: Build and orchestrate agentic workflows (planner, executor, critic, retriever) using frameworks like LangChain Agents or custom orchestration layers.
Agent Communication & Coordination: Implement protocols for inter-agent messaging, shared memory, and task decomposition strategies.
Tool Integration: Develop and register tools for agents (search, code execution, SQL, APIs) and ensure safe, efficient tool use.
Agent Evaluation: Create benchmarks for agent collaboration quality, latency, and success rate; implement fallback strategies for failed agent tasks.
Safety & Governance: Apply guardrails for multi-agent systems (e.g., preventing runaway loops, enforcing role boundaries, monitoring emergent behaviors).
Scalability: Optimize multi-agent orchestration for parallel execution, cost control, and reliability under high concurrency.
Retrieval & Data Layer: Stand up vector search and feature stores; design chunking, embeddings, and memory strategies for high-quality retrieval at scale.
Evaluation & Quality: Establish offline/online evaluation (A/B, rubric-based, golden sets, human-in-the-loop), automated regression tests, and guardrails (toxicity, PII, jailbreaks).
MLOps for GenAI: Implement CI/CD for models & prompts, model registry, experiment tracking, observability (latency, cost, drift, hallucination rate), and rollbacks.
Security & Compliance: Embed data governance, model risk, safety checks, and auditability; collaborate with Security/Legal for policy-compliant deployments.
Performance & Cost: Profile and tune latency, throughput, and cost per request; apply batching, prompt compression, caching, and architectural optimizations.
Collaboration: Partner with Product, Design, Data, and Platform teams; write clear technical docs and review code with high standards.
Mentoring: Coach mid-level engineers and data scientists; share best practices and patterns.
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.