Senior Software Engineer, AI Transformation

Omada Health is on a mission to bend the curve of chronic disease through virtual-first healthcare and technology solutions. They are seeking an experienced Senior Software Engineer to join their AI Transformation team, focusing on building AI-powered tools and workflows that enhance software development and operations across the organization.

Responsibilities:

• Build AI-powered tools into engineers' day-to-day workflows (e.g., Claude, VS Code, GitLab, Datadog, internal documentation, Slack chatops)
• Implement and evolve inference and tool-calling pathways using Claude models on Amazon Bedrock, LiteLLM, and MCP/tool gateways within Omada's secure networks
• Partner with teams across Engineering to define AI-augmented SDLC patterns across planning, coding, testing, and operations
• Prototype and harden Slack-based chatops experiences that safely orchestrate internal services through business-level agentic harnesses
• Instrument and monitor AI usage, performance, and cost to help the team and engineering leadership understand our impact and our organizational maturity
• Collaborate with security, compliance, and infrastructure teams to ensure that AI workflows are designed to handle PHI and other sensitive data safely
• Create reusable examples, templates, and internal libraries that make it easy for teams to adopt AI-powered workflows without bespoke implementations
• Contribute to training, documentation, and office hours that help engineers, PMs, and designers become confident AI users and partners

Requirements:

• 8+ years of experience as a Software Engineer working on infrastructure, dev tools, or similar enabling internal systems
• Strong experience building backend services and integrations (e.g., REST/GraphQL APIs, event-driven systems, or internal service meshes)
• Hands-on experience with at least one modern LLM platform or orchestration layer (e.g., AWS Bedrock, OpenAI, Anthropic, LiteLLM, LangChain, or similar)
• Proficiency in at least one modern programming language used for backend and tooling (e.g., Ruby, Python, TypeScript/Node, Go, or similar)
• Experience integrating internal services or third-party APIs into bots, CLIs, chatops workflows, or internal tools
• Familiarity with AWS cloud infrastructure and secure-by-default patterns for handling secrets, credentials, and sensitive data
• Ability to collaborate cross-functionally, translate real-world workflows into technical requirements, and communicate tradeoffs clearly
• Excellent communication and documentation skills
• Experience building Slack apps, chatops tooling, or similar conversational interfaces for internal teams
• Experience designing or operating MCP/tool gateways, function-calling agents, or other agentic orchestration frameworks
• Familiarity with observability tools and practices to track AI usage, reliability, and cost over time
• Practical experience managing infrastructure on AWS with Terraform
• Background working in healthcare or other regulated industries where PHI/PII handling, auditability, and compliance are critical