AI Engineer - NYC

Blueflame; New York (NY); Hybrid; USD 141,000 - 248,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Employee benefits

Job summary

Datasite's NYC-based engineering team builds secure software for dealmakers, offering AI-assisted diligence and data room capabilities. You will join a critical engineering group, collaborating with Product and Services teams to deliver reliable, scalable components.

The role requires 10+ years leading multi-team initiatives and a strong background in backend, distributed systems, and API design. Hybrid work near Central Park, with three in-office days per week.

Qualifications

• 10+ years of professional software engineering experience leading technical initiatives across multiple teams.
• Expertise in backend, platform, distributed systems, or full-stack product engineering with scalable systems.
• Proficiency in Python, Java, TypeScript, Kotlin, or comparable modern language; ability to set language/framework direction.
• Deep fluency with AI-assisted development tools and agentic coding workflows.
• Extensive experience building production REST APIs.
• Strong system design and architecture experience.
• Experience with distributed systems.
• Excellent written and verbal communication; ability to influence senior stakeholders.

Responsibilities

• Set the technical direction for production agent systems, including planning, tool selection, subagent orchestration, context and state management, and structured outputs.
• Create, maintain, and optimize databases (MongoDB, Redis), ensuring data integrity and security.
• Develop and maintain RESTful APIs to enable communication between server and client-side applications, as well as with third-party services.
• Implement security measures to protect data and applications from unauthorized access and vulnerabilities.
• Contribute to system design and architectural decisions — evaluate tradeoffs and communicate technical direction.
• Review and approve pull requests; plan and scope deliverables against timelines.
• Optimize platform performance and identify and fix bugs.
• Mentor and grow senior engineers and influence technical direction across the organization.
• Write and maintain documentation for code, processes, and best practices.

Skills

Python

Java

TypeScript

Kotlin

Distributed systems

Backend development

API design

Tools

MongoDB

AWS

Azure

Google Cloud

REST APIs

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.

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 Work with Us

Datasite's engineering organization builds the software the world's dealmakers depend on to find, evaluate, negotiate, and close transactions: secure virtual data rooms and AI-assisted diligence, AI-native deal sourcing and relationship intelligence, and private-company search and market data.

Our engineers play a critical role in producing high-quality software solutions to support the Datasite product lines. This position requires close collaboration with our Product teams, our Services teams, and other members of our Engineering team to develop and implement software components and ensure the reliability and performance of the platform.

We’re a NYC-based engineering team, working together in office near Central Park 3 days per week (Mon, Wed & Thurs).

Responsibilities

• Set the technical direction for production agent systems, including planning, tool selection, subagent orchestration, context and state management, and structured outputs
• Create, maintain, and optimize databases (MongoDB, Redis), ensuring data integrity and security
• Develop and maintain RESTful APIs to enable communication between server and client-side applications, as well as with third-party services
• Implement security measures to protect data and applications from unauthorized access and vulnerabilities
• Contribute to system design and architectural decisions — evaluate tradeoffs and communicate technical direction
• Review and approve pull requests; plan and scope deliverables against timelines
• Optimize platform performance and identify and fix bugs
• Mentor and grow senior engineers and influence technical direction across the organization
• Write and maintain documentation for code, processes, and best practices

Must have

• 10+ years of professional software engineering experience building, scaling, and operating production systems, including a track record of leading technical initiatives across multiple teams.
• Deep expertise in backend, platform, distributed systems, or full-stack product engineering, with a demonstrated ability to design systems that scale with product and organizational growth.
• Expert programming ability in [Python, Java, TypeScript, Kotlin, or a comparable modern language], with the ability to work effectively in Python-based systems and set language and framework direction for teams.
• Deep fluency with AI-assisted development tools and agentic coding workflows, with experience defining how teams adopt them safely and effectively.
• Extensive experience building production REST API's
• Strong system design and architecture experience
• Experience with distributed systems
• Exceptional written and verbal communication, including the ability to influence senior stakeholders, write clear technical strategy documents, and align teams on decisions and trade-offs.

Nice to Have

• Experience with M&A, virtual data rooms, private-market intelligence, financial services, enterprise SaaS, regulated data environments, legal technology, or other document-heavy workflows.
• Experience with MongoDB or a similar NoSQL database.
• Experience with AWS, Azure, or Google Cloud.

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. 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.

$141,000.00 - $248,000.00

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.