Senior Software Engineer, AI Transformation

About the role

Join our agentic systems team, powering our AI Transformation efforts across Engineering, Product, and Design. Our team sits within the Architecture & Infrastructure department, inside of the larger Engineering org.

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.
• Create 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.
• Able to collaborate cross-functionally, translate real-world workflows into technical requirements, and communicate tradeoffs clearly.
• Excellent communication and documentation skills.

Bonus points

• 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.

Benefits

• Competitive salary with generous annual cash bonus.
• Equity grants.
• Remote first work from home culture.
• Flexible Time Off to help you rest, recharge, and connect with loved ones.
• Generous parental leave.
• Health, dental, and vision insurance (and above market employer contributions).
• 401k retirement savings plan.
• Lifestyle Spending Account (LSA).
• Mental Health Support Solutions.