Software Development Engineer - Tech Lead; Agentic)

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

We are seeking a hands-on Tech Lead / Staff Software Development Engineer to join a high-energy team driving AI transformation across our product platform. This role will be involved throughout the entire development lifecycle - designing and building AI-powered application capabilities that empower engineering teams to develop, deploy, and operate agentic AI applications at scale.

The role spans the full stack
: agent orchestration and backend services in Python and Java
, APIs, and front-end interfaces in Angular
, using Lang Graph for agent orchestration across cloud-native infrastructure. You'll be equally comfortable in the agent logic, the API layer connecting it to the product, and the React/Type Script frontend that renders it - and you'll set the technical direction for how the rest of the team builds all three. This role requires the ability to deliver efficient, production-grade solutions while identifying and mitigating risk before deployment.

The ideal candidate brings strong full-stack engineering fundamentals, a track record of technical leadership and peer mentorship, and a genuine interest in using agentic AI to solve real product problems - not just prototype them.

• Architect, design and build full-stack AI application capabilities - spanning agent backend services, APIs, and front-end interfaces - that enable engineering teams to ship agentic features reliably.

• Design and build full-stack AI application capabilities - spanning agent backend services, APIs, and front-end interfaces - that enable engineering teams to ship agentic features reliably.

• Lead technical design for agent-powered product features using Copilot Kit for in-app copilots and generative UI, and Deep Agents
  -style architectures (planning, sub-agent delegation, long-horizon task execution) for complex workflows.

• Instrument, trace, and evaluate agent behavior in production using Lang Smith
  , driving down latency, cost, and error rate through systematic evaluation rather than guesswork.

• Own the connective tissue between backend agent logic and frontend experience - API design, state synchronization, and human-in-the-loop approval flows.

• Review and influence designs produced across the team; set and enforce engineering standards for agent reliability, prompt/version management, and rollback strategies.

• Mentor senior and mid-level engineers on agentic systems specifically - most engineers haven't built these before; you have.

• Drive platform scalability, performance, and reliability as usage grows - cost controls, concurrency, multi-tenant isolation, and infra choices that hold up under real production load. Experience with building, deploying and working hands on with Kubernetes environments

• Support production issues across the full stack - frontend, backend, infra, and agent behavior alike: investigate, root-cause, and close the loop with tests, evals, and monitoring so the same failure doesn't recur.

• Knowledge of tools such as Splunk, App Dynamics, Lang Smith, Arize.

• Build and maintain modern web technologies across the product: performant, accessible React/Type Script interfaces, well-designed REST/GraphQL APIs, and the infrastructure that serves them at scale.

• Partner directly with product and design to translate ambiguous "make the agent do X" requests into scoped, testable technical plans.

• 8+ years of professional software engineering experience, with demonstrated full-stack ownership (backend services, APIs, and frontend interfaces). Must have taken several Web / agentic applications to production

• 2+ years hands-on experience building and operating LLM/agent-powered applications in production - real users, real load, real failure modes,…