Software Engineer I/II (AI Platform)

About the Role

The Platform AI team builds the AI platform behind Circles product experiences. This role sits at the intersection of backend and AI engineering ideal for someone who enjoys shipping production software and has hands-on experience with LLM-powered, agentic systems.

Youll build core platform capabilities, distributed backend services, and AI-driven workflows that power reliable, scalable, and secure product experiences.

What Youll Do

• Design and implement cross-repository features, including API contracts, database schemas, and migrations.
• Build backend services that support AI-powered workflows and platform capabilities.
• Develop and maintain LLM-enabled features and agentic workflows across a distributed system.
• Write maintainable, well-tested code with strong performance and security practices.
• Troubleshoot and resolve production issues across distributed services.
• Partner with product and engineering stakeholders to deliver reliable user-facing systems.
• Mentor SDE-1 engineers breaking down epics, pairing on complex changes, and improving documentation.

What Were Looking For

• 1 5 years building, shipping, and maintaining production backend or platform software.
• Strong Python experience, especially with async FastAPI.
• Hands-on experience with LLM APIs or other AI-powered application features.
• Solid grasp of distributed systems fundamentals: HTTP, caching, database consistency, streaming, and failure modes.
• Advanced experience with MongoDB or a similar document database indexing, schema changes, and query optimization.
• A habit of contributing unit, integration, and contract tests.
• Clear written communication for RFCs, merge request descriptions, and incident postmortems.
• Ability to pick up Go or another production language when the work calls for it.
• Curious to learn new things on AI and building on top of it.
• Familiar with using coding agents like cursor, codex, claude code.

AI Skills We Expect

• LLM application development shipping production features with LLM APIs, including prompt design, tool/function calling, structured outputs, and robust response handling.
• Agentic systems building or maintaining multi-step, stateful agent workflows, ideally with supervisor/worker patterns.
• Tool integration wiring external tools and services into AI systems through backend orchestration and MCP-style tool access.
• Evaluation and quality assessing AI behavior with regression cases, golden datasets, human review, and failure analysis.
• Streaming and latency delivering responsive experiences with streaming output and graceful degradation.
• Safety and privacy guarding against prompt injection, data leakage, and PII exposure.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.