Generative AI engineering meets a hybrid schedule with three office days weekly, focused on practical solutions for productivity, automation, and decisions.
As an Applied AI Engineer, you will accelerate Generative AI adoption within a major organization. You will translate business requirements into solutions while developing assistants, copilots, APIs, and integrations. Your work includes RAG, semantic search, and workflow orchestration.
Key Responsibilities:
- Translate business requirements into robust AI solutions
- Develop proofs of concept, prototypes, and reference applications
- Build AI assistants, copilots, and agentic workflows
- Implement RAG with vector databases and semantic search
- Develop APIs, integrations, and enterprise connectors
Requirements:
- Three to five years of software engineering experience
- One to three years developing Generative AI applications
- Strong Python and API development skills
- Hands-on LLM, RAG, embeddings, and semantic search experience
- Understanding of Responsible AI, governance, and security practices
Apply your Python, RAG, and Generative AI experience to build reusable solutions as an Applied AI Engineer.
Generative AI Solutions Engineer in Montréal employer: Astek Group
Astek is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Java Back-End Developer role in Montréal. With a strong emphasis on employee growth, Astek offers comprehensive benefits including health insurance from day one, generous vacation policies, and opportunities for professional development through tailored training and certification reimbursements. The hybrid work model and vibrant team environment further enhance the appeal of working at Astek, making it a rewarding place for those seeking meaningful contributions in the financial sector.
