À propos de ce poste Applied AI Engineer chez Bounteous
Bounteous · Montreal, QC
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
As part of our team, you will help build an enterprise-grade GenAI workflow platform supporting document data extraction, integrated productivity assistants, and automated business processes across multiple lines of business. This is a production-focused role — not research or prototyping. We are looking for senior, hands-on full-stack engineers who have designed, built, and operated GenAI systems in production, and who understand failure modes, evaluation practices, and governance for mission-critical AI-powered platforms.
Information Security Responsibilities
Responsibilities:
Requirements:
- 2+, dedicated experience in practical application of GenAI solutions in an enterprise business environment. Designing and operating GenAI orchestration frameworks in production beyond vendor examples (e.g., LangChain systems),
- 5+ years of strong front-to-back engineering experience, focusing on AI ML platforms and workflows (Python or Java).
- Proven experience building and operating production‑grade GenAI / LLM platforms, applying patterns such as RAG, tool/function calling, agentic workflows, and validated structured outputs.
- Strong LLMOps expertise, including evaluation harnesses, prompt and version management, regression testing, observability, and reliability measurement in production systems.
- Hands‑on experience building AI-first data ingestion pipelines with measurable quality, accuracy, and reliability.
- Advanced retrieval experience advanced vector search, including multi‑vector and late‑interaction approaches (e.g., ColBERT, chunking), multi‑stage retrieval pipelines, metadata filtering, re‑ranking. Solid understanding of evaluation metrics and how they shape practical RAG system design (e.g., recall vs precision, latency vs quality, MRR, NDCG).
- Experience operating GenAI systems through real production failures (model regressions, retrieval degradation, prompt drift, data quality issues) and designing mitigation strategies.
Nice to Have:
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates.
*Must be legally eligible to work in Canada.
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