{"id":16680,"url":"https://alion.io/job/handshake-senior-software-engineer-machine-learning-infrastructure","title":"Senior Software Engineer, LLM Platform","company":{"id":5000,"name":"Handshake","domain":"joinhandshake.com","url":"https://alion.io/company/handshake","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":176000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FinOps","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Portkey","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Scale AI","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"Triton","optional":false},{"name":"TypeScript","optional":false},{"name":"vLLM","optional":false},{"name":"Anthropic","optional":true},{"name":"Anyscale","optional":true},{"name":"Arize Phoenix","optional":true},{"name":"Cloudflare","optional":true},{"name":"Datadog","optional":true},{"name":"FastAPI","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenRouter","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-07-10T20:45:59Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-17T04:47:40Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":98},"description":"About Handshake\nHandshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.\nIn 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.\nWhy join Handshake now:\nShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel\n\nPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions\n\nWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders\n\nBuild a massive, fast-growing business with billions in revenue\n\nAbout Handshake AI\nHuman data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.\nAbout the Role\nHandshake is hiring a Senior LLM Platform Engineer to join our Data and ML Platform team. This team supports Handshake’s core career marketplace and Handshake AI (HAI) by building the shared data, ML, and LLM infrastructure behind production workflows.\nThis infrastructure-heavy role primarily owns our shared LLM control plane: LiteLLM gateways, provider integrations, shared clients, access controls, observability, cost attribution, capacity management, and hosted or self-hosted inference. You’ll also contribute to adjacent platform systems for workflow orchestration, model serving, shared cloud infrastructure, and developer enablement-working closely with Backend Platform, HAI engineering, data science, and FDEs.\nWhat You’ll Do\nBuild and operate our LiteLLM-based AI gateways and shared LLM clients.\n\nOwn provider and model onboarding, routing, failover, rate limits, and capacity planning.\n\nBuild self-service virtual-key, model-access, budget, and credential-management workflows.\n\nEstablish SLOs, observability, cost attribution, and alerts for production LLM traffic.\n\nSafely qualify and roll out new models, providers, SDKs, and gateway configurations.\n\nSupport hosted and self-hosted inference through a consistent platform interface.\n\nPartner with product, AI, and FDE teams to turn recurring delivery problems into paved-platform capabilities.\n\nContribute to the broader Data and ML Platform, including workflow orchestration, model serving, shared cloud infrastructure, and developer tooling.\n\nParticipate in team on-call and support, improving runbooks, automation, and reliability across owned platform services.\n\nWhat We’re Looking For\nStrong production software engineering experience in Python, TypeScript, Go, or a similar language.\n\nExperience building or operating high-throughput API gateways, proxies, or multi-tenant platform services.\n\nHands-on experience with Kubernetes, Terraform, CI/CD, and production service ownership.\n\nPractical experience with LLM provider APIs, including streaming, long-running requests, retries, timeouts, cancellation, and rate limits.\n\nExperience with authentication, quotas, credential management, tenant isolation, and auditability.\n\nExperience building observability for distributed systems and leading production incident response.\n\nExperience with usage metering, cost attribution, capacity planning, or FinOps.\n\nExperience with data or ML platform systems such as BigQuery, Airflow, streaming pipelines, model serving, or ML observability.\n\nStrong judgment in ambiguous environments and a bias toward simple, reliable systems that scale.\n\nBonus Experience\nLiteLLM, Portkey, or a comparable multi-provider AI gateway.\n\nvLLM, Modal, Ray, Triton, PyTorch, or GPU-backed serving.\n\nTemporal or another durable-execution system for long-running LLM requests.\n\nEvaluation, batch inference, fine-tuning, RL, or other post-training infrastructure.\n\nAgent runtimes, sandbox infrastructure, MCP, tool use, or coding-agent infrastructure.\n\nOur Stack\nPython, TypeScript, Go, LiteLLM, FastAPI, PostgreSQL, Redis, GCP, Kubernetes, Terraform, Spacelift, BigQuery, Airflow, Dataflow/Beam, Datastream, OpenAI, Anthropic, Gemini, OpenRouter, vLLM, Modal, Anyscale/Ray, Datadog, Arize, Temporal, Cloudflare, and Tailscale\nPerks\nHandshake delivers benefits that help you feel supported-and thrive at work and in life.\nThe below benefits are for full-time US employees.\nOwnership: Equity in a fast-growing company\nFinancial Wellness: 401(k) match, competitive compensation, financial coaching\nFamily Support: Paid parental leave, fertility benefits, parental coaching\nWellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend\nGrowth: $2,000 learning stipend, ongoing development\nRemote & Office: Internet, commuting, and free lunch/gym in our SF office\nTime Off: Flexible PTO, 15 holidays + 2 flex days\nConnection: Team outings & referral bonuses\nExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.","description_format":"text","description_chars":5475,"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"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Job Boards & 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