Staff Software Engineer (AI/ML/ SaaS)

Job Responsibilities: 

• Design and build scalable AI platform services using Python and microservice architectures
• Own DevOps and MLOps workflows including CI/CD, model deployment, versioning, and rollback
• Build and maintain Kubernetes-based platforms for AI workloads
• Work on data pipelines, dataset versioning, and auto-labeling workflows for model training
• Enable end-to-end ML lifecycle: data ingestion, training, evaluation, deployment, and monitoring
• Collaborate closely with ML researchers, product teams, and other platform engineers
• Drive best practices in software design, reliability, security, and observability
• Lead technical discussions, review designs, and mentor team members

Job Requirements:

• 10+ years of experience in backend or platform engineering
• Strong proficiency in Python (or similar backend languages)
• Solid experience building microservices and distributed systems
• Hands-on expertise with Kubernetes in production environments
• Strong understanding of DevOps and MLOps principles
• Experience with data management for ML (datasets, labeling, pipelines)
• Cloud experience with Azure or strong willingness to adopt Azure quickly
• Ability to think at system level and still deliver hands-on

Nice to have:

• Experience building internal AI/ML platforms
• Familiarity with model serving frameworks and inference optimization
• Exposure to auto-labeling, weak supervision, or human-in-the-loop systems
• Experience in enterprise or B2B SaaS environments

Here are some of our local benefits:

• Comprehensive medical, accidental, and life insurance 

• Weekly wellness sessions to support physical and mental well‑being 
  • Generous paid time off policy