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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Development Engineer - Tech Lead (Agentic) - **Company:** CVS Health - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $130,295.0 - $260,590.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Python (Programming Language), Software Engineering, TypeScript, Cloud Platform System, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Ios Frameworks, Backend, Build Management, AngularJS, Information Technology, Web Technologies, Machine Learning Operations, Front End Software Development, Api Design, Splunk, Appdynamics, Software Version Control - **Published:** August 1, 2026 - **Apply:** https://dejobs.org/x/x/8249051C6F254BDE9E1F957376330632/job/ ## About the Role * 8+ years of professional software engineering experience, withdemonstratedfull-stack ownership (backend services, APIs, and frontend interfaces).Must have taken several Web/ agenticapplications to production * 2+yearshands-on experience building and operating LLM/agent-powered applications in production - real users, real load, real failure modes, not just a prototype. * Hands-on experience with CopilotKit (or comparable in-app agent UI frameworks) - shared state, generative UI, human-in-the-loop patterns, frontend action/tool wiring. * Experience building oroperating Deep Agents -style systems: multi-step planning, sub-agent orchestration, long-running or asynchronous agent tasks. * Practical experience with LangSmith (or equivalent) for tracing, evaluation, and debugging LLM/agent behavior in production. * Hands-on experience with LangGraph for agent orchestration - building, debugging, and scaling multi-step agent graphs in production. * Strong, current web technologies experience - React , moderncomponentarchitecture, browser performance, and accessibility - paired with backend skills in Java and Python , and experience designing APIs that connect the two layers cleanly. * Demonstrated technical leadership: design reviews, mentoring, and being the escalation point when things breakinproduction. * Experience working on a platform team - building capabilities and tooling that other engineering teams build on top of, not just single-product feature work. * Proven ability to manage and context-switch across multiple concurrent projects and stakeholders without dropping the details. * Strong communicationskills, written and verbal - this role requires translating technical tradeoffs for engineers, product, and leadership alike, and communication is treated as a core competency, not a soft nice-to-have. * Out-of-the-box thinker who can move quickly - comfortable making sound calls with incomplete information and iterating rather than waiting for the perfect plan. * Solid grasp of LLM fundamentals: prompt engineering, RAG, tool/function calling, context management, and the failure modes specific to non-deterministic systems. Preferred Qualifications * Familiarity with the AG-UI protocol or other agent-to-frontend interaction standards. * Experience withadditionalagent frameworks (CrewAI,Mastra,PydanticAI, or similar) and a clear point of view on the real tradeoffs between them. * Experience with vector databases and retrieval pipelines (Pinecone,pgvector,Weaviate, etc.). * Background in observability/platform engineering outside of AI (tracing, monitoring, incident response). * Model fine tuning * ML Ops * Traditional ML/DataScience experience Education * Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. ## 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. The role spans the full stack : agent orchestration and backend services in Python and Java , APIs, and front-end interfaces in Angular , using LangGraph 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/TypeScript 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. What You'll Do * 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 CopilotKit 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 LangSmith , 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 engineershaven'tbuilt 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.Experiencewith building,deployingand working hands on with Kubernetesenvironments * Support production issues across the full stack - frontend, backend, infra, and agent behavior alike: investigate, root-cause, and close the loop with tests, evals, andmonitoringso the same failuredoesn'trecur. * Knowledge of tools such as Splunk, AppDynamics,LangSmith,Arize. * Build andmaintainmodern web technologies across the product: performant, accessible React/TypeScript interfaces, well-designed REST/GraphQLAPIs, 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. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)