Senior AI/ML Engineer - AWS

About Us

We are partnering with a fast-growing Canadian startup based in Toronto that is revolutionizing how organizations access and apply knowledge through an AI-powered platform. Leveraging Retrieval-Augmented Generation (RAG), the product delivers accurate, domain-specific, and continuously updated insights.

About the Role

We are looking for a Senior AI/ML Engineer to strengthen and elevate our Data Analytics and AI Practice.

You’ll play a key role in designing and delivering cutting-edge AI solutions with end-to-end ownership — from architecture to deployment. The ideal candidate brings 7+ years of experience building scalable data and AI systems, with hands-on expertise in Generative AI, AWS Data & AI services, and LLM-based applications.

If you thrive in an innovation-driven, fast-paced environment where your contributions will directly shape the product and infrastructure — this is for you.

What You'll Do

• Design, build, and deploy end-to-end AI/ML solutions, with a focus on Generative AI and RAG pipelines.

• Architect scalable and reliable data pipelines on AWS.

• Implement LLM orchestration frameworks to support advanced RAG workflows.

• Collaborate cross-functionally with Product, Engineering, and Data teams to drive AI-first features.

• Continuously monitor, optimize, and evolve AI/ML models and data infrastructure.

Must-Have

• 7+ years of hands-on experience in AI/ML engineering and data pipeline development.

• Deep expertise with AWS AI/ML services:

  • SageMaker (training, hosting, pipelines)

  • Bedrock & Agents (LLM orchestration, RAG workflows, API integration)

  • Lambda, Glue, Step Functions, S3, EventBridge

• Strong experience with RAG pipelines and vector databases (e.g., FAISS, Pinecone).

• Proficient in LLM orchestration frameworks (e.g., LangChain, DSPy).

• Solid foundation in MLOps/DevOps: CI/CD, containerization (Docker/Kubernetes), monitoring.

• Advanced programming skills: Python, SQL.

Nice-to-Have

• Experience with Databricks: Spark, Delta Lake, MLflow.

• Familiarity with TensorFlow, PyTorch, or Scikit-learn.

• Data pipeline orchestration tools: Airflow, DBT.

• Understanding of data modeling, governance, and security best practices.

Why Join Us?

At OpsBrasil, we cultivate a lean, collaborative, and learning-driven culture. You’ll work alongside a highly skilled and autonomous team in a fast-moving, innovation-first environment. Here, ideas flow quickly, and your contributions will have a tangible impact on the product, the infrastructure, and the future of the company.

Come build the future of AI-powered knowledge platforms — from the ground up.