Senior AI Engineer

Grata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies. Our platform has the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners. We help leading investors (PE/growth), investment bankers, management consultants, and corporate development teams discover and win more deals. Grata has over 1,000 customers and has been widely recognized as the market leader by G2, PE Wire, and more.

We are seeking an Senior AI Engineer to join our growing AI team. This role is an incredible opportunity to shape the future of our AI capabilities and directly impact how users engage with our platform. We’re looking for someone with a strong background in applied machine learning who thrives in ambiguous problem spaces, enjoys working collaboratively with cross-functional teams, and is passionate about bringing AI models into production to drive user features.

If you have deep technical expertise and crave high-impact work on a flexible, fast-growing team, then you will thrive in this role. You will set technical direction and ship code for major initiatives that drive a huge amount for the company in a core part of the product.

Grata is a hybrid company, which means our employees work from our NYC office (near Bryant Park) on Mondays, Tuesdays and Thursdays.

What you’ll do:

• Design, build, and maintain the infrastructure that powers Grata’s AI features at scale, including data pipelines, model serving, and monitoring systems.


• Collaborate closely with AI Scientists and data engineers to bring AI solutions into scalable, production-grade systems.


• Own deployment pipelines and infrastructure for model training, evaluation, and inference.


• Develop internal tools and libraries that accelerate AI development across the company.


• Ensure high performance and reliability across our AI systems, including fault tolerance, observability, and cost efficiency.


• Work closely with product engineering to bring models into production, ensuring seamless integration and monitoring.


• Leverage Grata’s proprietary company data to build AI systems that deliver a unique competitive advantage.

What we’re looking for:

Must have skills

• Production Systems: Experience designing, building, and maintaining scalable AI infrastructure and data pipelines.


• MLOps & Deployment: Familiarity with modern ML lifecycle tools (e.g., MLflow, SageMaker, Airflow, etc.) and CI/CD best practices.


• Programming: Strong software engineering skills with Python (preferred) and knowledge of software design patterns, testing, and version control.


• Cloud & Data Systems: Experience with cloud platforms (AWS/GCP/Azure) and big data tools (Spark, Snowflake, or equivalent).


• Monitoring & Reliability: Experience building observability into ML systems, including metrics, logging, and alerting. Communication: You excel at explaining design choices, results, and trade-offs to both technical and non-technical stakeholders.


• Product Development: Experience designing and developing AI solutions that directly impact user-facing features.


• Data: Experience working with company data and related entity resolution, knowledge graph, or business intelligence problems.


• Large Language Models: Familiarity with building solutions using LLMs is a strong plus.

Characteristics

• You thrive in ambiguous problem spaces and are excited to bring clarity and structure.


• You are curious and self-motivated, always looking for opportunities to learn and grow.


• You are a strong collaborator who enjoys working across research, engineering, and product teams to drive impact.

Why Grata:

• Shape the future of AI at Grata and directly impact our platform’s success.


• Collaborate with a dynamic, cross-functional team at the intersection of AI, product, and engineering.


• Join a high-growth company recognized as the market leader in private company intelligence.

Benefits & Perks:

• Medical, dental, vision plans: we offer plans with 80% coverage of premiums for employees


• Company-sponsored lunch through Grubhub on a weekly basis


• Unlimited PTO policy


• Flexible Work Location (FWL) policy that allows you to work from home 24 days of the year


• Other benefits: 12 weeks of parental leave, 401k, pre-tax commuter benefits, dog-friendly office

Grata is committed to providing competitive cash compensation and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below.

Grata is committed to providing competitive cash compensation and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For candidates based in New York City, the total expected compensation is $160,00 to $200,000. There is also an annual bonus plan of 5-10% of base salary, depending on experience.

Grata is proud to be an Affirmative Action, Equal Opportunity Employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Grata considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Grata is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, please let your recruiter know. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.