Senior AI Engineer

Overview

Build and operate an internal AI platform that accelerates developer workflows and AI-assisted operations, with strong guardrails for regulated (HIPAA/GxP and FedRAMP-boundary) environments.

What you'll do

• Deliver practical AI capabilities on top of the existing engineering and operations foundation (CI/CD, code quality, and observability) with strong guardrails for HIPAA/GxP and FedRAMP-boundary work.
• Build and operate an internal AI platform for developer workflows: code assistance, PR review support, test generation, documentation, and automation that fits how teams work.
• Integrate AI capabilities into the toolchain (CI/CD, code quality, repos) and make adoption easy through templates, examples, and self-service patterns.
• Implement AI quality gates (policy checks, confidence thresholds, regression tests, secure-by-default configs) so AI-generated changes cannot be merged or released unless they meet standards.
• Design for regulated environments: implement logging/auditability, access controls, and data-handling guardrails for HIPAA/GxP work.
• Maintain a FedRAMP-boundary-safe approach for SBP Federal work (separation where required; evaluate compliant alternatives; prevent prohibited tooling/data flows).
• Partner with engineering leads and security/compliance to define and roll out internal standards for responsible AI use, including review practices and acceptable-use guidance.
• Build AI-assisted operations on top of existing observability signals: anomaly detection, incident triage support, runbook-driven automation, and self-healing patterns to reduce MTTR.
• Measure impact (adoption, cycle time, incident metrics), iterate quickly, and communicate progress clearly to engineering leadership.

What you'll need

• 5+ years in software engineering, platform engineering, DevEx, or SRE/operations engineering, with recent hands-on work applying LLMs/AI to real workflows.
• Experience building or productionizing AI-assisted developer tooling (e.g., code review assistance, test generation, documentation, workflow automation), not just evaluating off-the-shelf tools.
• Experience building and operating automated/semi-automated agent workflows that execute scoped engineering tasks.
• Experience building AI-assisted operations/observability capabilities (anomaly detection, intelligent alerting, triage automation, runbook automation) on top of existing monitoring stacks.
• Strong coding skills in Python plus one of Java or TypeScript.
• Comfort operating in regulated environments and designing guardrails (HIPAA, GxP, FedRAMP, or similar), including boundary/tenant separation and auditability.
• Clear written and verbal communication; able to align engineers, security/compliance, and leadership.

Nice to have

• Experience with FedRAMP boundaries and evaluating FedRAMP-authorized tooling alternatives.
• Experience integrating deeply with CI/CD and developer toolchains (GitHub/Jenkins/GitLab CI, SonarQube, CodeBuild, etc.).
• Prior platform/DevEx experience building internal products where engineers are the customers.
• Experience in regulated software domains (clinical, federal, financial, or similar).
• Familiarity with AWS-native ops tooling (CloudWatch, DevOps Guru) and workflow/orchestration tools.

Details

• Location: India.
• Tech environment varies by team: Java, Python, Go, TypeScript; AWS; GitLab/Jenkins/GitLab CI; SonarQube; Prometheus + ELK and AWS-native monitoring.
• Benefits include flexible hybrid work, unlimited paid time off, group medical and life insurance, a 24/7 Employee Assistance Program, continuous learning programs, and team events.