Senior Software Engineer, AI

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

📋 Description

• Design, develop, and deploy high-quality backend services, APIs, and components for AI platforms utilized by various engineering teams.

• Create and integrate systems powered by LLMs, including RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, and model observability.

• Enhance the reliability, scalability, observability, and operational quality of AI systems in production.

• Develop internal tools, frameworks, and automation, along with documentation that boosts developer productivity and AI functionalities.

• Engage in code and design reviews, debugging, incident management, and operational support activities.

• Contribute to the technical design of complex projects by assessing trade-offs and suggesting feasible implementation strategies.

• Collaborate with product, design, and engineering teams to translate platform requirements into effectively designed technical solutions.

• Assist in identifying and mitigating technical debt, reliability concerns, and obstacles within the software development lifecycle.

• Work alongside staff and senior engineers to establish reusable patterns and uplift engineering standards.

• Utilize agentic coding tools and LLM-assisted development as a fundamental aspect of your workflow—this is the operational standard for the team.

• Assess AI-generated code for accuracy, edge cases, and potential regressions, ensuring quality delivery regardless of its origin.

• Contribute to the team's developing practices in AI-accelerated development and testing.

⛳️ Requirements

• Over 5 years of experience in designing, building, and managing production software systems.

• Strong backend engineering expertise with Python frameworks such as FastAPI, Flask, or Django.

• Proven experience in developing or integrating AI/LLM-powered systems in production, including RAG pipelines, AI SDKs, evaluation workflows, guardrails, or agentic workflows.

• Familiarity with relational and NoSQL databases, covering schema design, query optimization, and data modeling.

• Experience with cloud-native technologies like AWS, Docker, and Kubernetes.

• Solid understanding of CI/CD processes, observability practices, and operating services in a production environment.

• Ability to deconstruct complex technical challenges and provide practical, maintainable solutions.

• Strong sense of ownership, capable of independently driving projects while collaborating effectively.

• Excellent communication skills with the capacity to articulate technical trade-offs to engineering and cross-functional teams.

• Hands-on experience with AI-native development tools (e.g., Cursor, Augment) and a proven ability to incorporate AI-driven practices to enhance velocity and code quality.

• Competence in critically evaluating AI-generated code and outputs, including the detection of failure modes, regressions, and edge cases.

🏝️ Benefits

• Health, dental, and vision insurance for you and your family.

• Life insurance coverage.

• Mental wellness support.

• Assistance with fertility and growing family needs.

• Flex Time Off in addition to company-paid holidays.

• Paid family leave, medical leave, and bereavement leave policies.

• Retirement savings plans.

• Allowance to personalize your work and technology setup at home.

• Annual stipend for professional development.