Staff Software Engineer, Agentic Search & Retrieval

Datasite

New York (NY)

Hybrid

USD 170,000 - 297,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Retirement plan
Paid time off

Job summary

Datasite is hiring a hands-on Staff Software Engineer to own the retrieval layer used by live-deal AI agents. You will ensure grounded, current context using Python in backend services, APIs, and large-scale data pipelines.

Work with Product and Data Science to balance quality, latency, and cost while scaling document processing and vector search. You will mentor engineers, shape context across teams, and support secure multi-tenant access in a hybrid setup with in-office collaboration on

Qualifications

  • 6+ years of building and operating production software with a track record of leading complex technical work across teams.
  • Strong hands-on Python, with experience in backend services, APIs, and large-scale data pipelines.
  • Experience with production LLM applications that depend on retrieval: tool calling, embeddings, vector search, or context management.
  • Strong foundations in permissions, multi-tenant data, and access control on what an agent can retrieve.
  • Clear product and technical judgment; balancing answer quality, latency, and cost, with ability to explain tradeoffs to engineering/product leaders.

Responsibilities

  • Own retrieval for agents that work on live deals.
  • Ground each answer in the right documents and data, balancing quality, speed, and cost.
  • Scale platform to process large documents and data tables so an agent can reason over content beyond a single pass.
  • Shape the context agents depend on and evolve it as deal workflows grow.
  • Build the search tools agents call and support content indexed and not yet indexed.
  • Return the snippet, citation, and location a dealmaker can trust.
  • Ensure agent context aligns with data rooms and access controls; prevent reading restricted content.
  • Decide when models may answer from retrieved context and when to re-check results.
  • Mentor engineers and set technical direction for retrieval across teams.

Skills

Python
Backend APIs
Data pipelines
LLM retrieval
Permissions & access
Product judgment

Tools

Vector store
Embeddings
RAG
Tool interfaces

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

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 hands-on Staff Software Engineer 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.

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
  • Own 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.
  • Scale 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.
  • Shape the context agents depend on and evolve it as deal workflows get longer and more complex.
  • Build 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.
  • Keep agent context aligned with the data room and with whoever may see each item. An agent must not read content the user cannot read.
  • Decide when a model may answer from retrieved context and when the product must check the result.
  • Mentor engineers and set technical direction for retrieval across teams.
What You Bring
  • 6+ years of building and operating production software, with a record of leading complex technical work across teams.
  • Strong hands-on Python, with experience in backend services, APIs, and large-scale data pipelines.
  • Experience with production LLM applications that depend on retrieval: tool calling, RAG, embeddings, vector search, or context management.
  • Strong foundations in permissions, multi-tenant data, and access control on what an agent can retrieve.
  • Clear product and technical judgment. You can balance answer quality, latency, and cost, and explain the tradeoffs to engineering and product leaders.
  • Nice to Have Long-running agent workflows that search or read documents.
  • A vector store at production scale.
  • Processing of large confidential documents and data tables.
  • Hybrid search, citations, and evaluation of retrieval quality.
  • Virtual data rooms, M&A documents, or similar document-heavy work.
  • Tool interfaces that expose search to an agent.
Salary and Benefits

The 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.

$170,000.00 - $297,200.00

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.

Equal Opportunity Statement

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.

Welcome to Datasite

Datasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealmakers find opportunities, manage transactions, and make key decisions. We simplify the complex. We create great experiences. And we deliver better outcomes. Through the essential mix of intelligence, technology, and expertise.

This is where you come in. You can play a part 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. Explore the roles. What can you offer? Make yourself essential.

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