Our Client Currently looking for Senior Software Engineer, AI Transformation
Your impact:
- 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.
You will love this job if you:
- Enjoy working on tools and systems that enable other teams to deliver better software, faster.
- Thrive in environments where you can operate cross-functionally and influence architecture, development, and deployment workflows.
- Like to collaborate with Platform, DevOps, and Security teams to improve reliability and observability.
- Believe that quality is everyone’s responsibility, and enjoy helping others succeed at improving quality
- Love to mentor and learn from your teammates – training and collaborating with developers to write great code and solve problems together.
Requirements for this role:
- 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
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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