Staff Software Development Engineer - Tech Lead
$130.3k - $260.59kCVS Health
Role Description
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.
- 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.
- Lead technical design for agent-powered product features using CopilotKit for in-app copilots and generative UI, and Deep Agents-style architectures for complex workflows.
- Instrument, trace, and evaluate agent behavior in production using LangSmith, driving down latency, cost, and error rate through systematic evaluation.
- 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.
- Drive platform scalability, performance, and reliability as usage grows.
- Support production issues across the full stack — frontend, backend, infra, and agent behavior alike.
- Build and maintain modern web technologies across the product: performant, accessible React/TypeScript interfaces, well-designed REST/GraphQL APIs.
- Partner directly with product and design to translate ambiguous requests into scoped, testable technical plans.
Qualifications
- 8+ years of professional software engineering experience, with demonstrated full-stack ownership.
- 2+ years hands-on experience building and operating LLM/agent-powered applications in production.
- Hands-on experience with CopilotKit or comparable in-app agent UI frameworks.
- Experience building or operating Deep Agents-style systems.
- Practical experience with LangSmith for tracing, evaluation, and debugging LLM/agent behavior in production.
- Hands-on experience with LangGraph for agent orchestration.
- Strong, current web technologies experience — React, modern component architecture, browser performance, and accessibility.
- Demonstrated technical leadership: design reviews, mentoring, and being the escalation point when things break in production.
- Experience working on a platform team.
- Proven ability to manage and context-switch across multiple concurrent projects and stakeholders.
- Strong communication skills, written and verbal.
- Out-of-the-box thinker who can move quickly.
- Solid grasp of LLM fundamentals.
Requirements
- Familiarity with the AG-UI protocol or other agent-to-frontend interaction standards.
- Experience with additional agent frameworks (CrewAI, Mastra, Pydantic AI, or similar).
- Experience with vector databases and retrieval pipelines.
- Background in observability/platform engineering outside of AI.
- Model fine tuning, ML Ops, Traditional ML/Data Science experience.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Paid time off.
- Retirement savings options.
- Wellness programs and other resources.
Pay Range
The typical pay range for this role is: $130,295.00 - $260,590.00. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.
$190.9k - $334.1k
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