This role is part of the AI Applications team, an extension of Moloco's generative AI initiative. This team sits higher in the AI stack, closer to the user, and focuses on the delivery layer rather than infrastructure. The primary mission is to build AI-powered products and tools that:

Make Moloco as a company operate more efficiently internally.

Improve the internal-to-customer experience using generative AI.

Improve the end customer experience with AI (lighter focus initially).

Much of the work is greenfield, with only small parts of the foundation currently in place. Engineers will own products end-to-end, from problem identification through launch and ongoing operations.

How Do I Know if the Role is Right For Me?

8+ years of professional software engineering experience, with a track record of owning complex, cross-functional systems end-to-end

Deep hands-on experience architecting LLM-powered applications at production scale — agentic systems, RAG, or tool-using assistants — including the tradeoffs between latency, cost, reliability, and quality

Experience with agent frameworks/orchestration (e.g., LangGraph, custom agent loops) and multi-step reasoning systems

Proven experience designing evaluation and monitoring systems for AI products that others on the team adopt and build on

Strong systems design skills: able to define architecture and technical standards that multiple teams can build on autonomously (shared infra, guardrails, APIs)

Fluency across the stack (frontend, backend, infra) with the judgment to know where to go deep vs. delegate

Staff Software Engineer - AI Applications

Responsibilities

Qualification

Preferred

Benefits

Company

Moloco

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