{"id":4330424,"url":"https://alion.io/job/litmus-founding-mts","title":"Founding MTS","company":{"id":3779802,"name":"Litmus","domain":"litmushiring.com","url":"https://alion.io/company/litmus-5","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"HR","role_family":"HR","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":120000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-15T05:27:47Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T05:27:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We're building a founding engineering team with complementary strengths across infrastructure, product engineering, and AI research. Depending on your expertise, your work could involve:\nPlatform & infrastructure\nArchitect, build, and scale reliable infrastructure that powers our hiring and evaluation platform\nOwn technical decisions across distributed systems and platform infrastructure, supporting high-throughput workloads\nProduct engineering\nOwn product features end-to-end, from technical design through deployment and iteration\nWork closely with engineering and talent leaders at frontier technical teams and turn recurring customer needs into reusable platform capabilities\nAI evaluation & research infrastructure\nDesign RL environments, evaluation rubrics, and reward signals that expose meaningful limits in neo-human systems.\nDevelop experiment orchestration and tracking systems for reproducible evaluations across humans and agents.\nBuild meta-optimization systems that use evaluation results, human and agent trajectories, and failure analysis to iteratively improve evaluation design.\nWhat we look for\nRequired qualifications\nProficiency in Python, JavaScript/TypeScript, or Node.js.\nA track record of building, shipping, and operating production systems OR experience in an early stage team\nAbility to break down ambiguous problems and move quickly from ideas to execution\nStrong independent judgment, with a willingness to challenge assumptions and take ownership of decisions\nAbility to learn quickly, incorporate feedback, and improve based on evidence\nHigh signals\nEx-founder\nExperience operating distributed systems, cloud infrastructure (AWS/GCP), or serverless architectures\nExperience building high-throughput data pipelines and distributed data processing systems\nExperience with production-quality ML training, evaluation, or research infrastructure\nHands-on experience with reinforcement learning, LLM fine-tuning, or post-training\nYou’ll work directly alongside the founders, shaping product and technical direction. 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