{"id":3379420,"url":"https://alion.io/job/datasite-staff-software-engineer-ai-agent-platform-runtime","title":"Staff Software Engineer, AI Agent Platform & Runtime","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":"2026-11-01T06:10:25Z"}},"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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Context Engineering","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T20:38:26Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"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 a hands-on Staff Software Engineer to shape the foundational infrastructure for enterprise AI agents. You'll evolve our custom agent harness, build layered memory and secure isolated execution, and make sophisticated agent workflows dependable at production scale. This is an opportunity to solve challenging problems in distributed systems, applied AI, security, and platform engineering - not simply wrap APIs around models.\nHelp define how agents reason, plan, remember, use tools, delegate work, and recover from failures across complex, high-stakes business workflows. You'll own architecture decisions and collaborate across Engineering, Product, Machine Learning, and Security to deliver meaningful capabilities for dealmakers.\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\nLead the architecture and evolution of Datasite's custom agent harness, including reasoning and execution loops, planning, tool selection, state transitions, structured outputs, and runtime controls.\nDesign layered agent memory spanning working context, episodic history, semantic knowledge, and durable workflow state; build retrieval, consolidation, compaction, provenance, retention, and access controls.\nArchitect isolated, containerized agent execution environments for code, files, and tools, with ephemeral workloads, tenant boundaries, resource quotas, restricted networking, and secure credential handling.\nBuild resilient agent orchestration: asynchronous tasks, specialized subagents, delegation, checkpoints, resumability, retries, failure recovery, and human approvals.\nCreate secure, extensible tool integrations using MCP and related interfaces, with authentication, authorization, least-privilege permissions, and safeguards against prompt injection and unsafe actions.\nEstablish agent evaluation, tracing, observability, and regression testing to measure task quality, correctness, reliability, latency, and cost; drive measurable improvements\nMake high-impact technical tradeoffs between probabilistic model behavior and deterministic application logic, validation, or human review.\nPartner with Product, Machine Learning, Security, and platform teams to turn diligence, research, and deal workflows into production-grade agent experiences; mentor engineers while remaining hands-on in critical implementation.\nWhat You Bring\nExperienced in building and operating production software, with a track record of leading complex technical initiatives across teams.\nDeep expertise in backend platforms, distributed systems, asynchronous execution, APIs, fault tolerance, and stateful services.\nStrong hands-on Python proficiency and experience with a modern language such as TypeScript, Java, Go, Kotlin, or Rust.\nExperience developing production LLM applications involving tool calling, multi-step workflows, retrieval, agent orchestration, or context management.\nPractical understanding of containers, cloud-native infrastructure, workload isolation, and secure execution patterns.\nStrong foundations in data persistence, caching, event-driven architectures, permissions, multi-tenancy, and secrets management.\nExcellent product and architectural judgment: able to evaluate emerging techniques, balance speed with reliability, and turn ambiguous problems into maintainable platforms.\nAbility to influence technical strategy, mentor senior engineers, and communicate complex tradeoffs clearly to engineering and product leaders.\nNice to Have\nCustom agent runtimes or orchestration frameworks; agentic coding systems or autonomous development environments.\nPersistent or hierarchical agent memory, context engineering, retrieval architectures, or long-running agent workflows.\nSecure code execution, sandboxing, Docker, Kubernetes, microVMs, or ephemeral compute.\nMulti-agent coordination, MCP servers, tool registries, capability-based permissions, model routing, or agent evaluation and tracing.\nEnterprise SaaS, M&A, virtual data rooms, regulated data, financial services, or complex document-centric workflows.\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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