{"id":349131,"url":"https://alion.io/job/outmarket-software-engineer","title":"Software Engineer","company":{"id":126386,"name":"Out Market","domain":"outmarket.agency","url":"https://alion.io/company/outmarket","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":18,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","IN"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":126},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Function Calling","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-06-20T05:57:18Z","employer_posted_date":"2026-06-20","last_verified_at":"2026-10-28T18:20:27Z","board_verified":true,"closed_at":null,"days_open":130,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":129},"description":"ABOUT OUTMARKET\nOutmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output.\nThe impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.\nWHAT YOU’LL GET\nA high-impact role with ownership from day one.\n\nCompetitive compensation and meaningful equity.\n\nDirect collaboration with founders and real users.\n\nRemote-first flexibility.\n\nThe opportunity to help build an AI-native product from the ground up.\n\nABOUT THE ROLE\nWe are hiring a Software Engineer to build AI-powered features across our product and technical stack. You will work on real customer workflows, from AI and backend systems to product experiences, with strong support from a senior team.\nWHY THIS ROLE\nBuild features that directly affect real customer workflows and outcomes.\n\nWork across a broad technical stack in an AI-native environment.\n\nGrow quickly with mentorship from founders and experienced engineers.\n\nWHAT YOU’LL DO\nBuild product features powered by LLMs, including retrieval-augmented generation (RAG), embeddings and semantic search, prompt design, structured output, and tool-using agents.\n\nWork hands-on with the mechanics of AI systems: chunking and embedding documents, vector stores and retrieval, context construction, and evaluating output quality.\n\nBuild the backend services, data pipelines, and product UI that turn these AI capabilities into reliable, production-grade features.\n\nTurn messy real-world insurance data into trustworthy, source-cited product capabilities.\n\nCollaborate across product, sales, and customer success to ship high-leverage work.\n\nWHAT WE’RE LOOKING FOR\n1 to 3 years of software engineering experience (or equivalent), with strong fundamentals.\n\nProficiency in Python and/or TypeScript and comfort with SQL.\n\nA real understanding of how modern AI systems work under the hood: LLMs and prompting, tokens and context windows, embeddings and vector search, RAG, and basic evaluation of model output.\n\nGenuine interest in applied AI and a desire to go deep on the domain.\n\nStrong ownership and comfort in a fast-moving environment.\n\nBONUS IF YOU HAVE\nHands-on experience with LLM orchestration and RAG tooling (for example LangChain, LlamaIndex, or similar) and vector databases (for example pgvector, Pinecone, or Weaviate).\n\nExperience building agents, tool/function calling, or evaluation and prompt-testing pipelines.\n\nExperience with React, Postgres, or cloud platforms, or with document-heavy 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