AI Engineer
We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions. This new role is ideal for someone who thrives at the intersection of software development, applied AI research, and practical solution design. You will be responsible for designing, implementing, and deploying production‑grade AI systems that leverage the latest in large language models (LLMs), orchestration frameworks, and agentic architectures.

Key Responsibilities

Design & Development

Build scalable and robust AI‑driven applications using LLMs and agentic frameworks.

Implement vector database solutions to enable semantic search, RAG (retrieval augmented generation), and knowledge management.

Develop orchestration pipelines with frameworks like LangChain, Semantic Kernel, AutoGen, or emerging agentic frameworks such as Agno and Parlant.

Automation & Integration

Integrate workflow automation platforms with AI systems to deliver end‑to‑end business solutions.

Ensure seamless integration with existing enterprise software ecosystems and APIs.

Quality & Evaluation

Apply or contribute to LLM evaluation methodologies, leveraging platforms like Arize, DeepEval, or IBM WatsonX for model benchmarking, monitoring, and continuous improvement.

Establish best practices for testing, performance tuning, and evaluation of agentic/LLM‑based workflows.

Collaboration & Delivery

Work closely with cross‑functional teams including data scientists, software engineers, and product owners.

Translate business requirements into technical designs and deliver working AI‑powered applications in production environments.

Required Skills & Qualifications

Strong background in software engineering (e.g., system design,



distributed systems, APIs, CI/CD).

Proven experience in building Generative AI and/or agentic systems.

Hands‑on expertise with

LLMs and model fine‑tuning or integration.

Vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS).

LLM orchestration frameworks (LangChain, Semantic Kernel, AutoGen).

Agentic frameworks (Pydantic AI, Agno, Parlant).

Proficiency in at least one major programming language such as Python or .NET.

Experience architecting, deploying, and operating cloud‑native solutions on a major hyperscale platform (Azure, AWS, or GCP).

Experience with workflow automation tools (n8n, dify.ai, Power Automate).

Nice-to-Have Skills

Familiarity with LLM evaluation frameworks (Arize, DeepEval, IBM WatsonX).

Contributions to open‑source AI frameworks or communities.

Experience in MLOps, monitoring, and model deployment pipelines.

Who You Are

A problem‑solver with strong engineering rigor and curiosity for cutting‑edge AI.

Comfortable moving between architecture, coding, and deployment.

Passionate about transforming abstract business needs into intelligent, production‑ready systems.

Salary
Salary range for this role is between $84,000 and $128,000.

Equal Prospect Employer
We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity, and sexual orientation. If you require accommodation to complete the application process, please contact us.

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📌 AI Engineer - Generative & Agentic AI (Quebec City)
🏢 BDO Canada
📍 Quebec City