Added
21 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws python kubernetes rag

📋 Description

  • Design, build, and deliver production AI/ML systems end-to-end.
  • Build data pipelines and training workflows; deploy to production.
  • Collaborate with engineers to scale AI capabilities and architecture.
  • Work on AWS-based, production-grade AI systems in enterprise environments.
  • Join a cross-functional team delivering real-world AI with reliability.

🎯 Requirements

  • 4+ years software engineering; 2+ years AI/ML in production.
  • Hands-on with generative AI development; AI frameworks and orchestration tools.
  • Cloud platforms—preferably AWS; AWS GenAI offerings.
  • Docker and Kubernetes; containerized deployments.
  • Strong problem-solving, ownership, and able to ship with craft.
  • Experience with AI safety, responsible AI, prompt injection defenses, PII handling.

🎁 Benefits

  • Influence AI architecture and product decisions.
  • Collaborative, fast-paced environment with ownership of meaningful work.
  • Delivery centers across Canada, US, Eastern Europe, LATAM.
  • Ship production-ready AI in 30-45 days.
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