{"id":827178,"url":"https://alion.io/job/valkai-member-of-technical-staff-ai","title":"Member of Technical Staff - AI","company":{"id":689035,"name":"Valkai","domain":"valkai.com","url":"https://alion.io/company/valkai","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"Next.js","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-07-31T15:13:32Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-09-24T01:57:08Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"THE ROLE\nYou'll build AI systems that can complete real work end to end. The work sits between applied research and production engineering: understanding model behavior, designing agent architectures, building evaluations, and building off of the latest research.\nRESPONSIBILITIES\nDesign and build long-horizon agents that plan, use tools, maintain state, recover from failure, and interact with data and source systems.\n\nBuild evaluations for agent decisions and end-to-end task performance.\n\nTest and integrate frontier models across complex life sciences workflows.\n\nDevelop the tooling and infrastructure needed to create, debug, and improve agents quickly.\n\nBuild the tool chain to enable the delivery of agent systems in partnership with AI Strategy and product.\n\nOwn systems from early exploration through production operation, including reliability, observability, and ongoing improvement.\n\nShare clear technical findings that help the team make better architecture and model decisions.\n\nREQUIREMENTS\nResearch-grade engineers who ship: You can investigate a hard technical question rigorously, make a clear decision, and turn the result into production software.\n\nStrong AI systems judgment: You understand that model quality depends on the surrounding system, including tools, context, state, evaluation, and human oversight.\n\nPragmatic problem solvers: You choose approaches based on evidence and tradeoffs, not ideology.\n\nHigh agency: You can take an ambiguous goal, create structure, and move the work forward without waiting for a detailed specification.\n\nOwners: You care about the quality, clarity, reliability, and long-term maintainability of what you build.\n\nClear collaborators: You communicate technical ideas simply and work well across engineering, AI Strategy, and product.\n\nNICE TO HAVE\nYou have built agents, model evaluation systems, or other production AI applications.\n\nYou have experience with fine-tuning, reinforcement learning, or applied model research.\n\nYou have built distributed systems or infrastructure for AI applications.\n\nYou have worked in a high-growth early-stage company.\n\nYou are familiar with parts of our stack: Next.js, TypeScript, Python, Postgres, Azure, AWS.\n\nBENEFITS\nCompetitive compensation, including meaningful equity.\n\nMedical, dental, and vision insurance for employees and dependents.\n\nGenerous PTO policy.\n\nPaid parental leave.\n\nAt Valkai, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.","description_format":"text","description_chars":2713,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Data & Analytics","Health Care","Clinical Research"],"lifecycle":[{"event":"open","at":"2026-09-12T15:11:28Z"}],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":1,"p_active":0.86,"p_room":0.75,"age_days":53,"expected_fill_days":55,"reasons":["conf:0","win:late"],"computed_at":"2026-09-23T05:45:00Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/valkai-member-of-technical-staff-ai","json_url":"https://alion.io/job/valkai-member-of-technical-staff-ai.json","meta":{"generated_at":"2026-09-24T02:57:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}