{"id":3628538,"url":"https://alion.io/job/true-talent-solutions-partners-senior-aiml-engineer-4","title":"Senior AI/ML Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":180000,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Scala","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-02T17:42:43Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-06T14:52:50Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nJoin an AI-focused team building the systems layer for a process intelligence platform. You will turn complex enterprise data into reliable, useful product experiences powered by hosted AI models.\nWhat You'll Do\nBuild and maintain production AI services and pipelines, including retrieval, context construction, model selection, structured extraction, and orchestration.\n\nDevelop evaluation datasets, benchmarks, regression tests, guardrails, and fallback paths to measure and improve AI quality.\n\nMonitor and debug production systems, addressing latency, cost, failures, and reliability.\n\nWork across the pipeline from customer data to generated outputs, iterating on product features using customer feedback.\n\nMake pragmatic build-versus-buy and refactoring decisions while owning projects from design through deployment and monitoring.\n\nWhat We're Looking For\nFour or more years of applied AI, ML, or production software engineering experience, with sustained ownership of shipped systems used by customers.\n\nStrong Python skills, experience with asynchronous services, and familiarity with typed languages such as Go, C++, Java, Scala, or C.\n\nHands-on experience with hosted LLM APIs, RAG and retrieval, vector search, structured outputs, or agent orchestration.\n\nExperience building AI evaluations or benchmarks and improving systems through regression testing, human review, or other quality measures.\n\nAbility to reason end to end across data pipelines and user-facing product behavior, and to communicate clearly with customers.\n\nExperience with production product engineering and customer feedback, ideally in an early-stage or fast-moving environment.\n\nA bachelor's degree or higher in computer science, engineering, or a related technical field.\n\nRelevant tools and technologies include PostgreSQL, Redis, GCP, Terraform, Docker, Datadog, React, TypeScript, and AI model APIs.\n\nExperience with enterprise documents, multimodal inputs, or process and workflow systems is helpful.\n\nCompensation & Benefits\nBase salary: $180,000 to $275,000 USD annually. 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