{"id":36062,"url":"https://alion.io/job/lightfield-software-engineer-applied-ai-staff","title":"Staff Software Engineer, Applied AI","company":{"id":8339,"name":"Lightfield","domain":"lightfield.com","url":"https://alion.io/company/lightfield","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","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 States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"RAG","optional":false},{"name":"World Models","optional":false},{"name":"GraphQL","optional":true},{"name":"JavaScript","optional":true},{"name":"Next.js","optional":true},{"name":"Node JS","optional":true},{"name":"PostgreSQL","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-05-14T20:23:25Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-17T13:35:14Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":155},"description":"About Lightfield\nLightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works-so AI can help teams anticipate what comes next, make better decisions, and take action.\nMore than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, Google, and Salesforce.\nAbout the role\nWe’re looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences.\nYou’ll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems.\nEngineers at Lightfield own and drive projects from inception to impact, working with teammates of all functions along the way.\nYou’ll also push our company’s overall product and technical vision as we learn from each project and continue to scale.\nWhat you'll do\nCollaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions.\n\nApply LLMs as reasoning engines to build domain-specific AI assistants.\n\nCreate and enhance prompts, applying techniques like few-shot learning and chain-of-thought.\n\nDevelop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data.\n\nImprove end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration.\n\nBuild and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences.\n\nStay at the forefront of AI research and incorporate state-of-the-art techniques.\n\nShape technical direction and best practices for AI application development at Lightfield.\n\nHelp build a world-class engineering team by recruiting and mentoring teammates.\n\nWho you are\nYou have 7+ years experience and the ability to ramp up quickly on a tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL.\n\nYou have explored working with LLMs, either through professional projects or personal experimentation.\n\nYou have a degree in Computer Science 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