AI Engineer

• Hybrid Work Options
• Award-Winning Culture
• Generous Personal Time Off (PTO) Benefits
• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• Benefits Eligibility Effective Day One
• 401K with Employer Match
• Tuition Reimbursement After One Year of Service
• Fertility Assistance Program
• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

As a Senior Engineer, you will play a pivotal role in the design, development, and delivery of robust, scalable, and secure AI-driven software systems. You’ll be expected to own complex components, lead critical feature implementation, and drive engineering best practices within your squad. This role bridges the execution gap between high-level design and detailed implementation, with active participation in solutioning, system integration, evaluation, and continuous improvement initiatives.

You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure that AI solutions align with user needs, business goals, safety expectations, and performance constraints. This role demands hands‑on engineering capabilities, a high degree of ownership, and the ability to work independently as well as within a team.

• Translate business needs into agentic workflows and production-ready full-stack components (APIs, services, UIs).
• Design and document functional and technical specifications for mid-to-large components.
• Implement agent orchestration, tool‑use, and integrations with strong focus on correctness, safety, and reliability.
• Implement and review high-quality code using modern software development practices.
• Conduct design and code reviews with an emphasis on performance, scalability, and maintainability.

• Integrate enterprise applications and services using APIs and middleware solutions.
• Conduct feasibility assessments and support application interoperability testing.
• Troubleshoot integration issues and support optimization of connected systems.

• Develop and participate in deploying software in Azure cloud environments.
• Configure platform‑specific deployment scripts and troubleshoot build‑release issues.
• Participate in infrastructure‑as‑code practices and cloud performance tuning.

• Define evaluation strategies for agent behavior: golden datasets, regression suites, scenario coverage, and reliability checks.
• Instrument and monitor agent behavior (tool‑call traces, latency/cost metrics, failure modes) and drive iterative improvements.
• Design and execute complex unit, integration, and automated test cases.
• Analyze and resolve test failures, propose code fixes, and contribute to automation frameworks.
• Collaborate with QA and Dev Ops teams to drive CI/CD pipeline enhancements.

• Assist in translating high‑level architecture into low‑level designs.
• Develop and maintain design artifacts under the guidance of architects and staff engineers.
• Understand existing system architecture and communicate trade‑offs during design sessions.

• Work closely with product managers, UX designers, and business stakeholders.
• Contribute to project planning and estimation for features and enhancements.
• Lead technical discussions, mentor junior engineers, and support knowledge sharing.

• Deep understanding of core programming concepts, system design principles, and application performance optimization
• Hands‑on experience building agentic systems with LLMs (tool‑use, orchestration, multi‑step flows, verification/validation patterns) and MCPs.
• Proficient in one or more agentic…