Staff Software Development Engineer – Tech Lead

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Architect, design, and develop comprehensive full-stack AI application capabilities — including agent backend services, APIs, and front-end interfaces — that empower engineering teams to deliver agentic features consistently.

• Create and implement full-stack AI application capabilities — encompassing agent backend services, APIs, and front-end interfaces — that facilitate engineering teams in reliably shipping agentic features.

• Spearhead the technical design for agent-driven product features utilizing CopilotKit for in-app copilots and generative UI, alongside Deep Agents-style architectures (planning, sub-agent delegation, long-horizon task execution) for intricate workflows.

• Instrument, trace, and assess agent performance in production using LangSmith, systematically minimizing latency, cost, and error rates through thorough evaluation rather than assumptions.

• Manage the integration between backend agent logic and frontend user experience — API design, state synchronization, and human-in-the-loop approval processes.

• Review and shape designs created across the team; establish and uphold engineering standards for agent reliability, prompt/version management, and rollback strategies.

• Mentor senior and mid-level engineers on agentic systems specifically — many engineers may not have experience in this area; your expertise is invaluable.

• Enhance platform scalability, performance, and reliability as usage increases — implementing cost controls, concurrency strategies, multi-tenant isolation, and infrastructure choices that perform well under actual production load.

• Possess experience in building, deploying, and working directly with Kubernetes environments.

• Assist with production issues across the entire stack — frontend, backend, infrastructure, and agent behavior: investigate, identify root causes, and ensure resolution through tests, evaluations, and monitoring to prevent recurrence.

• Familiarity with tools such as Splunk, AppDynamics, LangSmith, and Arize.

• Develop and maintain modern web technologies throughout the product: delivering performant, accessible React/TypeScript interfaces, well-structured REST/GraphQL APIs, and the underlying infrastructure to support them at scale.

• Collaborate closely with product and design teams to convert ambiguous 'make the agent do X' requests into clearly defined, testable technical plans.

⛳️ Requirements

• Over 8 years of professional software engineering experience, demonstrating full-stack ownership (backend services, APIs, and frontend interfaces).

• Must have successfully deployed several web/agentic applications to production.

• At least 2 years of hands-on experience in building and managing LLM/agent-powered applications in production — dealing with real users, actual load, and genuine failure modes, not merely prototypes.

• Practical experience with CopilotKit (or similar in-app agent UI frameworks) — shared state, generative UI, human-in-the-loop methodologies, and frontend action/tool integration.

• Experience in developing or managing Deep Agents-style systems: multi-step planning, sub-agent orchestration, and long-running or asynchronous agent tasks.

• Hands-on experience with LangSmith (or similar) for tracing, evaluation, and debugging LLM/agent behavior in production environments.

• Proficient with LangGraph for agent orchestration — constructing, debugging, and scaling multi-step agent graphs in production.

• Strong, current knowledge of web technologies — React, modern component architecture, browser performance, and accessibility — paired with backend expertise in Java and Python, along with experience designing APIs that effectively connect both layers.

• Proven technical leadership skills: conducting design reviews, mentoring, and serving as the escalation point for production issues.

• Experience working on a platform team — developing capabilities and tooling that support other engineering teams rather than focusing solely on single-product feature development.

• Demonstrated ability to manage and switch context across multiple concurrent projects and stakeholders without losing attention to detail.

• Excellent communication skills, both written and verbal — this role requires the ability to convey technical trade-offs to engineers, product teams, and leadership, treating communication as a fundamental skill rather than a supplementary one.

• An innovative thinker capable of swift action — comfortable making informed decisions with incomplete information and iterating instead of waiting for a flawless plan.

• A solid understanding of LLM fundamentals: prompt engineering, RAG, tool/function calling, context management, and the unique failure modes associated with non-deterministic systems.

🏝️ Benefits

• Medical, dental, and vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources available, based on eligibility.