{"id":3390296,"url":"https://alion.io/job/datasite-staff-software-engineer-agentic-search-retrieval","title":"Staff Software Engineer, Agentic Search & Retrieval","company":{"id":7183,"name":"Datasite","domain":"datasite.com","url":"https://alion.io/company/datasite","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Minneapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":297200,"currency":"USD","period":"year","gross":null,"usd_annual":297200},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Hybrid Search","optional":true}],"status":"live","first_seen_at":"2026-10-28T09:40:25Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T13:00:37Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About us\nDatasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealbreakers find opportunities, manage transactions, and make key decisions.\nWhatever your talents, you can find a place for them here. Get involved in some of the biggest business ventures today. Work with other gifted people around the world. Follow your ambitions, or discover a whole new path.\nCan you help us simplify the complex, create great experiences, and deliver better outcomes? Then let's talk.\nJob Description:\nWhy Engineering at Datasite\nDatasite's engineering organization builds the software the world's dealmakers depend on to find, evaluate, negotiate, and close transactions: secure virtual data rooms, AI-assisted diligence, deal sourcing, and private-company intelligence.\nWe’re looking for hands-onStaff Software Enginee r to own the context AI agents use on live deals. A wrong passage, a stale document, or a missed permission becomes a wrong answer in a high-stakes workflow. You will build the retrieval layer that makes agent answers grounded, current, and secure. You will work in Python and partner closely with Product and Data Science. You will stay hands-on on the decisions that change what an agent can know.\nLocation: We are hiring in New York City and Minneapolis. Datasite is a hybrid company, with in-office collaboration on Mondays, Tuesdays, and Thursdays.\nWhat You Will Do\nOwn retrieval for agents that work on live deals. Ground each answer in the right documents and data, and set the balance of quality, speed, and cost.\nScale how the platform processes large documents and data tables, so an agent can still find and reason over content that does not fit in one pass.\nShape the context agents depend on and evolve it as deal workflows get longer and more complex.\nBuild the search tools agents call. Cover content that is indexed and content that is not indexed yet. Return the snippet, citation, and location a dealmaker can trust.\nKeep agent context aligned with the data room and with whoever may see each item. An agent must not read content the user cannot read.\nDecide when a model may answer from retrieved context and when the product must check the result.\nMentor engineers and set technical direction for retrieval across teams.\nWhat You Bring\n6+ years of building and operating production software, with a record of leading complex technical work across teams.\nStrong hands-on Python, with experience in backend services, APIs, and large-scale data pipelines.\nExperience with production LLM applications that depend on retrieval: tool calling, RAG, embeddings, vector search, or context management.\nStrong foundations in permissions, multi-tenant data, and access control on what an agent can retrieve.\nClear product and technical judgment. You can balance answer quality, latency, and cost, and explain the tradeoffs to engineering and product leaders.\nNice to Have\n Long-running agent workflows that search or read documents.\nA vector store at production scale.\nProcessing of large confidential documents and data tables.\nHybrid search, citations, and evaluation of retrieval quality.\nVirtual data rooms, M&A documents, or similar document-heavy work.\nTool interfaces that expose search to an agent.\nThe base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.\n$170,000.00 - $297,200.00Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. 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