Gen AI Programmer/Developer Lead

Capgemini; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global technology consulting firm is seeking a Gen AI Programmer/Developer Lead in Toronto. This role involves implementing GenAI features, optimizing model performance, and overseeing multi-agent systems design. The candidate will collaborate with cross-functional teams and mentor mid-level engineers. The firm offers flexible work arrangements and comprehensive health benefits, fostering a supportive and inclusive work environment.

Benefits

Flexible work

Healthcare including dental, vision, and mental health programs

Financial well-being programs

Paid time off and holidays

Paid parental leave

Family building benefits

Mentoring and learning programs

Qualifications

• Experience in implementing end-to-end GenAI features.
• Strong understanding of model prompting strategies and optimizations.
• Knowledge in safety protocols for multi-agent systems.
• Experience with CI/CD processes for models and prompts.

Responsibilities

• Design and build scalable APIs and services for GenAI features.
• Develop and optimize various model infrastructures.
• Create benchmarks for agent collaboration and performance.
• Collaborate with cross-functional teams for project success.

Skills

GenAI feature implementation

Model engineering

Multi-Agent System Design

Tool integration for agents

MLOps for GenAI

Security and compliance

Performance tuning

Collaboration with teams

Mentoring

Job description

About the job you’re considering

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.

Life at Capgemini

• Flexible work

• Healthcare including dental, vision, mental health, and well-being programs

• Financial well-being programs and Employee Share Ownership Plan

• Paid time off and paid holidays

• Paid parental leave

• Family building benefits like adoption assistance, surrogacy, and cryopreservation

• Social well-being benefits like subsidized back-up child/elder care and tutoring

• Mentoring, coaching and learning programs

• Employee Resource Groups

• Disaster Relief

About Capgemini

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.

Get the future you want | www.capgemini.com

Disclaimer

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.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

Job: Business Analyst

Organization: I&D

Title: Gen AI Programmer/Developer Lead

Location: CAN-ON-Toronto

Requisition ID: 082456