Staff Software Engineer, AI Agent Platform & Runtime

Datasite; Minneapolis (MN); Hybrid; USD 170,000 - 297,000; Full time

Benefits offered by this job

Health insurance

Dental and Vision insurance

Retirement savings plan

Paid time off

Job summary

Datasite is hiring a Staff Software Engineer to shape the foundational infrastructure for enterprise AI agents. You will lead architecture for the custom agent harness, memory systems, and secure execution at production scale, influencing product, ML, and security teams.

You’ll collaborate across Engineering, Product, ML, and Security to deliver dependable agent experiences for dealmakers with a strong emphasis on distributed systems, security, and platform engineering.

Qualifications

• Strong hands-on Python experience and backend expertise.
• Production LLM applications involving tool calling, multi-step workflows, or context management.

Responsibilities

• Lead the architecture and evolution of the agent harness and orchestration.
• Design layered agent memory and secure execution environments.
• Build isolated, containerized execution environments for code and tools.
• Develop resilient orchestration with retries, checkpoints, and failure recovery.
• Create secure tool integrations with robust authentication and least-privilege access.
• Establish monitoring, tracing, and cost metrics to drive improvements.

Skills

Python

TypeScript

Go/Rust

Distributed systems

Cloud-native

Docker

Kubernetes

Tools

Docker

Kubernetes

Ephemeral compute

Job description

About us

Datasite 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.

Whatever 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.

Can you help us simplify the complex, create great experiences, and deliver better outcomes? Then let’s talk.

Job Description:

Why Engineering at Datasite

Datasite’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.

We’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.

Help 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.

Location : We are hiring in New York City and Minneapolis. Datasite is a hybrid company, with in‑office collaboration on Mondays, Tuesdays, and Thursdays.

What You Will Do

• Lead 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.
• Design layered agent memory spanning working context, episodic history, semantic knowledge, and durable workflow state; build retrieval, consolidation, compaction, provenance, retention, and access controls.
• Architect isolated, containerized agent execution environments for code, files, and tools, with ephemerally workloads, tenant boundaries, resource quotas, restricted networking, and secure credential handling.
• Build resilient agent orchestration: asynchronous tasks, specialized subagents, delegation, checkpoints, resumability, retries, failure recovery, and human approvals.
• Create secure, extensible tool integrations using MCP and related interfaces, with authentication, authorization, least‑privilege permissions, and safeguards against prompt injection and unsafe actions.
• Establish agent evaluation, tracing, observability, and regression testing to measure task quality, correctness, reliability, latency, and cost; drive measurable improvements
• Make high‑impact technical tradeoffs between probabilistic model behavior and deterministic application logic, validation, or human review.
• Partner 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.

What You Bring

• Experienced in building and operating production software, with a track record of leading complex technical initiatives across teams.
• Deep expertise in backend platforms, distributed systems, asynchronous execution, APIs, fault tolerance, and stateful services.
• Strong hands‑on Python proficiency and experience with a modern language such as TypeScript, Java, Go, Kotlin, or Rust.
• Experience developing production LLM applications involving tool calling, multi‑step workflows, retrieval, agent orchestration, or context management.
• Practical understanding of containers, cloud‑native infrastructure, workload isolation, and secure execution patterns.
• Strong foundations in data persistence, caching, event‑driven architectures, permissions, multi‑tenancy, and secrets management.
• Excellent product and architectural judgment: able to evaluate emerging techniques, balance speed with reliability, and turn ambiguous problems into maintainable platforms.
• Ability to influence technical strategy, mentor senior engineers, and communicate complex tradeoffs clearly to engineering and product leaders.

Nice to Have

• Custom agent runtimes or orchestration frameworks; agentic coding systems or autonomous development environments.
• Persistent or hierarchical agent memory, context engineering, retrieval architectures, or long‑running agent workflows.
• Secure code execution, sandboxing, Docker, Kubernetes, microVMs, or ephemer compute.
• Multi-agent coordination, MCP servers, tool registries, capability-based permissions, model routing, or agent evaluation and tracing.
• Enterprise SaaS, M&A, virtual data rooms, regulated data, financial services, or complex document‑centric workflows.

This 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.

$170,000.00 - $297,200.00

Our 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. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.