Staff Software Development Engineer – Tech Lead

Vaga não está no LinkedIn

🕒 Ontem

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $130.295 - $260.590 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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CVS Health

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1963

🏥 Saúde

⚕️ Seguro de Saúde

🛒 Varejo

Healthcare • Healthcare Insurance • Retail

CVS Health é uma empresa líder de saúde nos Estados Unidos, dedicada a ampliar o acesso e a acessibilidade ao cuidado. A empresa adota uma abordagem abrangente que inclui serviços de saúde, seguro saúde e gestão de benefícios farmacêuticos (PBM). Por meio de suas subsidiárias, como Aetna e CVS Caremark, a CVS Health oferece uma variedade de serviços que promovem o bem-estar, a gestão de condições de saúde e a cobertura acessível de medicamentos prescritos. A CVS Health opera farmácias de bairro, oferece serviços de farmácia por correspondência e gerencia programas de medicamentos de especialidade, com o objetivo de tornar o cuidado com a saúde conveniente e acessível para todos. Movida pela missão de conectar pessoas a serviços essenciais de cuidado, a CVS Health está comprometida em fomentar comunidades mais saudáveis e apoiar o bem-estar de todas as pessoas.

Descrição

• 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 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, AppDynamics, LangSmith , Arize . • Build and maintain modern web technologies across the product: performant, accessible React/TypeScript 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.

🎯 Requisitos

• 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, 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 or operating 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 , modern component architecture, 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 break in production. • 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 communication skills, 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.

🏖️ Benefícios

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility