Senior AI Engineer (Agentic AI)

About Keyrus

At Keyrus, we empower organizations to make their data matter. A French company with over 28 years of expertise and a presence in 27 countries worldwide, we are recognized leaders in Data Intelligence, Strategic Advisory, and AI Innovation. Our US team blends the energy of a startup with the resources of a global firm—delivering bleeding-edge solutions for clients across Financial Services, Healthcare, CPG/Retail, and more.

If you’re passionate about data, thrive on solving business challenges, and want to build what’s next — let’s talk!

Do you thrive in dynamic and challenging environments?

If technology is your passion and growth is your goal, Keyrus is the place for you. Every day here offers new challenges, learning opportunities, and the chance to make an impact.

About Keyrus US

Keyrus US is a recognized leader in Data Intelligence and AI, combining the agility of an innovative startup with the support of a global brand.

Location

• Montreal or Toronto (Hybrid, 2 onsite, 3 remote).

Senior AI Engineer

Your objective would be to own the end-to-end definition and delivery of AI-driven solutions for our clients and internal teams, from business‑case analysis and platform selection through architecture, prototyping, and production rollout, while setting technical standards, contributing to pre‑sales, mentoring engineers, and shaping our agentic AI practice.

What You’ll Do

• Translate business objectives into AI solutions — work directly with clients and stakeholders (executives, managers, and technical teams) to understand challenges, quantify value, and define success metrics before building.
• Lead platform and tooling decisions: evaluate and recommend the right approach for each use case, staying true to our vendor‑agnostic DNA: AWS, Azure, Salesforce, a custom orchestration stack, and others, based on data gravity, integration, cost, governance, and time‑to‑value. Deliver clear trade‑off analyses that executives and engineers both understand.
• Architect agentic & generative AI systems: design multi‑agent workflows, RAG pipelines, tool/function calling, memory and state management, guardrails, and human‑in‑the‑loop fallbacks.
• Build, hands‑on: develop production‑grade agents and automations with LangChain, LangGraph, Bedrock AgentCore, and other tools to integrate with enterprise systems (CRM, ERP) via APIs.
• Own quality and reliability: implement evaluation pipelines, observability, prompt/version management; optimize latency, cost, and accuracy of inference.
• Deliver PoCs, demos, and production solutions: move ideas from prototype to scaled deployment with proper CI/CD and AI and MLOps practices.
• Contribute to pre‑sales and solutioning: shape solution offerings, support proposals, and bring market knowledge and technical credibility to client conversations.
• Lead and mentor: provide guidance to engineers and interns, define best practices, and help build and scale our AI practice.
• Stay ahead: keep pace with a fast‑moving field (new models, frameworks, MCP, agent protocols) and bring well‑judged ideas to clients and teams.

What We’re Looking For (Mandatory Requirements)

Our ideal candidate brings a balance of technical skills, curiosity, and a consultative mindset:

• Degree in Computer Science, Engineering, Data Science, or related field, or equivalent professional experience.
• 5+ years in software/AI/data engineering, including hands‑on experience shipping generative or agentic AI to production.
• Strong Python and solid software‑engineering fundamentals (APIs, microservices, version control, testing).
• Hands‑on experience building AI agents / tool‑using LLMs with an orchestration framework.
• Practical experience with AWS AI services, especially Amazon Bedrock (foundation models, agents, guardrails) and the broader AWS stack (Lambda, API Gateway, S3, IAM).
• Solid grasp of RAG, embeddings, chunking, hybrid/semantic search, reranking, evaluation, vector databases.
• Proven ability to evaluate platforms objectively and make architecture decisions — and justify them to both technical and business audiences.
• A consulting mindset: curiosity, ownership, structured communication, and a collaborative, teamwork‑first attitude.

Desirable requirements (nice‑to‑have)

• Hands‑on experience with Salesforce Agentforce and Data 360.
• Relevant certifications (e.g., AWS Certified AI/ML or Solutions Architect; Salesforce Agentforce / Platform credentials a bonus).
• Experience comparing and integrating multiple agent platforms within a single architecture.
• Familiarity with responsible AI, model governance, security, and guardrails in enterprise settings.
• Experience with Anthropic Claude, Claude Code, Skills, Plugins, and MCP servers.
• Industry domain knowledge (financial services, retail, supply chain, healthcare).
• Knowledge of regulatory and privacy frameworks (e.g., GDPR).
• Exposure to front‑end (React) for building demos and copilots.
• Experience in a consulting / client‑facing environment is highly valued.

What we offer

• A stimulating environment where you will be able to surpass yourself and discover new horizons.
• A strong culture of innovation and entrepreneurship.
• Many occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts and other special events.
• Group insurance for you and your family members.
• RRSP and DPSP participation plan.
• Monthly Wellness Allowance.
• Reimbursement of telecommunication costs.
• Flexible work from home policy.
• 4 weeks of paid vacation.
• Language courses (French & English).
• Access to continuing education (in‑house, conferences, events, courses, certifications, etc.).
• Development plan for each employee and coaching.

Join us at Keyrus!

Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team.

See you in the process!

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