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.

• Software Design and Development
  :
  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.
• Applications Integration & Middleware
  :
  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.
• Cloud, Dev Ops & Configuration
  :
  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.
• Testing & Automation
  :
  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.
• Architecture Support
  :
  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.
• Collaboration & Execution
  :
  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.

• Technical Strength
  :
  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.…