Staff AI Engineer
Daptic
- Location
- Hybrid (New York City, New York)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Daptic is a New York-based startup building an AI platform to automate regulatory compliance for global manufacturers. The Staff AI Engineer will lead the development of core NLP and LLM systems, owning the architecture and collaborating closely with product and data teams to accelerate product deployment.
Skills
Full job details
Overview
We’re dedicated to speeding up the pace of innovation at manufacturing companies by automating product regulatory compliance. That frees up product and engineering teams to focus on building great products in automotive, aerospace, construction, medicine and healthcare, and more.
We’re a small, focused team, and we’re proud to be supporting the development of products used by over 100 million people worldwide. We’ve raised over $6M from IA Ventures, 8VC, and other institutional investors.
Our Mission
At Daptic, we’re building an AI platform to accelerate product development at manufacturing companies. We do that by creating NLP pipelines that identify all regulations that are relevant to any product in development, such as an electric battery or the latest level-4 autonomous driving system.
As engineers, reading complex legal and regulatory documents are often the last things we want to do. What we’re building means that teams can stop poring over 1000-page PDFs via Google Translate and can instead focus entirely on building the best systems that the world needs today.
In short, what you build with us will directly lead to companies launching physical products months faster than before.
Role
DiploAI is seeking an experienced Staff AI Engineer to lead the development of our systems.
The ideal candidate has a deep LLM/NLP background paired with a strong backend skillset, and has experience iterating quickly in a startup environment. You are ready to work with new technologies and learn whatever is needed to solve the challenges we will face. You will have complete, end-to-end ownership of our core models—working closely with our data engineers and iterating with our customers.
We are hybrid and based out of NYC. If you are not currently in NYC, we would ask you to plan to move to the city in the next few months.
Responsibilities
Collaborate closely with Product, Go-to-Market, and Data to translate product strategy into iterative, scalable product/model versions that can be rapidly deployed for user testing
Lead the team in selecting the appropriate technology stack, framework, and tools to enable experimentation, testing, and tracking
Own the architecture and development of the working product/models and beyond
Strategize and articulate tradeoffs between speed and scalability
Qualifications
Bachelors or Masters in Computer Science, Engineering, or other related field
6+ years of professional experience, Staff Engineer/Tech Lead/Technical Founder experience
A highly analytical approach and proven ability to solve technical problems with ML, NLP, and LLMs (commercial, open-source, and proprietary)
Product-oriented and comfortable working in a dynamic environment with evolving objectives and fast iteration with users
Strong backend skillset with experience building production systems, beyond just a proof-of-concept
Expertise in programming languages (e.g., Python), experience with agentic frameworks, and experience working with various LLMs (e.g., OpenAI, Anthropic, Google, Moonshot)
Excellent communication skills and low ego
US work authorization is required; we do not currently support visa transfers
Nice to haves
Experience with cloud service providers (e.g., AWS), and IIAC (Terraform, Cloudformation)
Interest in being involved in the product development process