Senior DevOps Engineer, AI Infrastructure
About The Position
We are seeking a highly skilled and passionate Senior DevOps Engineer, AI infrastructure to join our team! You will play a key role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI, within our financial operations. This role offers a challenging opportunity to contribute to impactful projects, leveraging deep technical expertise in GenAI, LLMs, RAG pipelines, vector databases, chatbot development, and related technologies. You will collaborate with engineers and stakeholders and drive innovation by applying AI and automation to solve complex financial problems.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field
- 5 years+ of experience in DevOps, Software Development, or AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
- Deep understanding of GenAI models, architectures and agentic AI concepts
- Extensive experience of LLM architectures, prompt engineering, fine-tuning, evaluation, and deploying agents (Agentcore stack)
- Expert Python skills, Vector Databases (Qdrant, Pinecone, pgvector), and RAG pipelines using LlamaIndex and LangGraph
- Experience in MLOps, containerization (Docker/Kubernetes), CI/CD, and cloud infrastructure (AWS, Azure, or GCP)
- Analytical problem-solver with a proven ability to effectively communicate and collaborate across departments and drive projects forward
Nice To Haves
- Experience with financial data and applications
- Familiarity with chatbot development frameworks and best practices, including conversational AI design and natural language understanding (NLU)
- Experience leading or contributing to complex data science or AI/ML projects in a fast-paced environment
- Experience with data visualization and reporting tools
- Experience with SQL databases
Responsibilities
- Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting.
- Design and implement AI Agents, utilizing rigorous harness engineering to build the necessary guardrails, memory management, and tool orchestration for safe and reliable execution.
- Process and analyze large datasets of structured and unstructured data.
- Architect and scale dynamic context retrieval systems (RAG) and semantic search infrastructures, leveraging tools like AWS Bedrock and LangGraph to securely ground AI outputs in enterprise data
- Develop and refine advanced prompting strategies for LLMs.
- Test, evaluate, and analyze the performance of LLM and other GenAI models.
- Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.
- Communicate effectively with business stakeholders.
- Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.
Benefits
- An award-winning culture with a collaborative & inclusive team.
- Competitive pay and performance-based bonus:
- Annual Base Salary: $130,000 - 145,000
- Annual Bonus: 20%
- Committed to flexible work arrangements, offering hybrid workplace options.
- Comprehensive medical, dental and vision coverage + Lifestyle Account.
- RRSP Matching and Parental Leave Top UP Program.
- In office massage, meditation & workout sessions.
- Virtual events such as Lunch & Learns, company parties, fun team activities and charity initiatives.
- Career learning and development programs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
