{"id":439513,"url":"https://alion.io/job/samba-tv-ai-product-engineer","title":"AI Product Engineer","company":{"id":171913,"name":"Samba TV","domain":"samba.tv","url":"https://alion.io/company/samba-tv","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":55,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":143,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United 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how to give LLMs the right information at the right time within token limits\n\nBuild and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources\n\nDeploy and manage agents in cloud environments with proper monitoring, error handling, and cost controls\n\nOptimize LLM costs and performance through prompt engineering, caching, and smart model selection\n\nWHO YOU ARE\nYou’ve built AI agents and shipped them to production-not just prototypes\nYou’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it\n\nYou’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks\n\nYou use Claude Code and Cursor daily-you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration\n\nYou think critically about LLMs-you understand how they work under the hood, not just how to call an API\nYou understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task\nYou have strong product sense-you focus on what users actually need, not just what’s technically interesting\nYou’re pragmatic-you ship 80% solutions quickly and iterate based on feedback\nYou can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps\nYou take ownership and drive things from idea to measurable impact\nYou communicate clearly-you can explain complex AI systems to anyone in the company\nYou stay current with the rapidly evolving AI landscape and bring new ideas to the team\nYou’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments\nExperience with advanced agent patterns or multi-agent systems\nExperience building and configuring MCP (Model Context Protocol) servers\nOpen-source contributions to AI/ML projects\nFamiliarity with observability tools for LLM 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