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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - AI Applications - **Company:** MOM COMMERCE MEDIA LLC - **Location:** Menlo Park, CA, United States - **Experience:** Expert - **Salary:** $220,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Monitoring of Systems, Key Management, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Backend, Agentic-AI, AI Platforms, Low Latency, Front End Software Development, Virtual Agents - **Published:** October 23, 2026 - **Apply:** https://www.dice.com/job-detail/7779b597-edb0-4234-b132-f70fa629cbd1 ## About the Role * 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 * Experience influencing technical direction beyond your own team - e.g., setting engineering standards, mentoring senior engineers, or leading technical strategy for a product area * History of independently identifying high-leverage problems (not just executing an assigned backlog) and building conviction with stakeholders and leadership Preferred Skills: * Experience building or leading the buildout of internal AI platform capabilities: key management, spend caps, permissioning, hosting for AI-developed apps * Track record of leading a SaaS rationalization or "build vs. buy" effort involving AI-first custom replacements * Experience redesigning a critical business workflow (not just automating a task) around AI - e.g., recruiting, customer lifecycle, planning/forecasting * Prior experience in a platform or infra-adjacent role that also required strong product instincts * Public or internal thought leadership on agent architectures, evals, or applied LLM engineering practices * Comfortable operating with minimal process, setting technical direction in a greenfield environment, and shaping team practices as they scale ## Description * Outcomes first - AI will be a tool, not the goal; teams will pick the best solution for Moloco with the same engineering rigor as any other eng org. * Shared foundations, not central control - common infrastructure, guardrails, security, and standards that every team will build on autonomously. Three core pillars: 1. Enable safely. Safe rails for every Molocan - hosting for AI-developed apps, key management, spend caps, permissions and provisioning. With proper guardrails, neither recent incident would have shipped unreviewed or run unbounded. 2. Rebuild workflows GenAI-first. Redesign the company's most critical workflows from the ground up around AI - the customer lifecycle from onboarding to campaign management and upsell, the recruiting pipeline from sourcing to offer, quarterly planning and forecasting. 3. Rationalize the stack. Evaluate, consolidate, and selectively replace SaaS where AI-first custom is better - e.g., the BI consolidation and open-weights proposals below. The Opportunity: 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., * Lead with Humility: Everyone's voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. * Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. * Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. * Go Further Together: We're one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: * Moloco Company Blog * Moloco Leadership * Moloco Newsroom AI Use in Interviews Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.