Senior AI/ML Engineer

Primary Responsibilities

• Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines)
• Ensure Model Quality, Evaluation, Security & Safety
• Implement Observability, Operations excellence
• Drive Architecture, Governance & Engineering Standards
• Cross Functional Leadership & Collaboration

Required Qualifications

• Bachelor of Science in computer science or related quantitative field
• 3+ years in Programming & Packaging
• Python (typing, pytest, packaging), SQL; shell for automation
• 2+ years in Observability & Monitoring
• SLOs for latency/cost/error; drift/skew detection
• 2+ years in Model Registry, Experiment Tracking & A/B
• Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout
• 2+ years in Responsible AI & Compliance
• Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence
• 1+ years in GenAI & Agents
• LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration
• 1+ years in Serving & Inference
• Batch/online endpoints, autoscaling; versioning and rollback strategies
• 1+ years in Cloud Platforms
• Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services

Preferred Qualifications

• Experience developing and deploying applications on AWS
• Solid understanding of security, IAM, data protection, logging, monitoring, performance tuning, disaster recovery, and production operations

Benefits

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc.

In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).

The salary for this role will range from $120,100 - $214,500 annually based on full-time employment.

We comply with all minimum wage laws as applicable.