{"id":1267809,"url":"https://alion.io/job/umatr-ai-engineer","title":"AI Engineer","company":{"id":2053453,"name":"UMATR","domain":"umatr.io","url":"https://alion.io/company/umatr","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"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":null,"salary_estimate":{"min_usd":153000,"max_usd":296000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":257},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"AI Agents","optional":true},{"name":"DSPy","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-05-26T08:22:03Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-09-26T05:37:38Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":123},"description":"We’re supporting a Series B company building AI-native software to modernise how businesses operate and make decisions. Their platform combines large language models, workflow automation, and structured data systems to deliver intelligent product experiences that users rely on daily.\nThey're looking for an AI Engineer focused on applied AI systems, someone who can turn foundation models into reliable, production-grade product capabilities. This role is focused around real-world implementation: prompt engineering, retrieval systems, orchestration, evaluation, and backend integration rather than model research or training frontier models from scratch.\nYou’ll work closely with engineering, product, and design teams to ship AI features that are fast, trustworthy, and deeply integrated into the product experience.\nWhat You’ll Do\nDesign and build LLM-powered product features using prompt engineering, structured outputs, tool usage, and function calling\nDevelop and improve retrieval-augmented generation (RAG) systems, including chunking strategies, embedding pipelines, indexing, and retrieval optimisation\nBuild orchestration layers for multi-step AI workflows involving agents, tools, memory, retries, and fallback handling\nIntegrate AI systems into backend services and production infrastructure\nEvaluate model quality, latency, hallucination rates, and operational cost, then iterate to improve performance and reliability\nCollaborate cross-functionally with product and design to create intuitive AI experiences with strong UX considerations\nExperiment with emerging AI tooling, frameworks, and open-source models to improve product capabilities\nHelp define engineering best practices around observability, testing, evaluation, and safety for AI systems\nWhat We’re Looking For\n3+ years of experience building AI-driven products, ML-enabled applications, or backend systems with AI integrations\nStrong hands-on experience working with modern LLM APIs and ecosystems (OpenAI, Anthropic, open-source models, etc.)\nSolid Python engineering skills and experience building production backend services\nExperience designing prompts, structured outputs, and tool-based workflows for real-world applications\nFamiliarity with retrieval systems, embeddings, vector databases, and semantic search concepts\nStrong product instincts with attention to usability, responsiveness, and reliability\nComfortable operating in fast-moving startup environments with high ownership and ambiguity\nNice to Have\nExperience building agentic systems with planning, tools, and memory\nFamiliarity with frameworks such as LangChain, LlamaIndex, DSPy, or similar orchestration tooling\nExposure to fine-tuning, adapters, evaluation pipelines, or synthetic data generation\nExperience deploying AI workloads in cloud environments and monitoring production inference systems\nBackground working on workflow automation, productivity software, or AI copilots\nApply today!","description_format":"text","description_chars":2944,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:49:28Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.104,"p_room":0.28,"age_days":123,"expected_fill_days":21,"reasons":["conf:24","agency","win:tail","crowd:"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/umatr-ai-engineer","json_url":"https://alion.io/job/umatr-ai-engineer.json","meta":{"generated_at":"2026-09-28T04:27:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2692,"day_limit":5000,"remaining_today":2308,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}