Staff Product Engineer
at Bedrock Talent
New York City, hybrid, staff, full time, 8+ years
posted 17 Aug 2026
- TypeScript
- Vector databases
- NoSQL
- Generative AI
- Docker
- Distributed systems
- Relational databases
- AWS
- Large Language Models
- Microservices
- Python
About the role
Remote: yes Posted: 2026-08-17
STAFF FULL-STACK, FRONTEND LEANING ENGINEER
THE OPPORTUNITY
Bedrock Talent is partnering with a venture-backed enterprise AI startup helping manufacturers navigate complex technical and regulatory information more efficiently.
The company applies natural language processing and large language models to automate traditionally manual workflows, giving product and engineering teams more time to focus on building and launching innovative physical products.
The team is hiring a frontend-leaning Staff Full-Stack Engineer to help define its technical direction and scale the systems supporting its AI-powered platform.
THE ROLE
This is a senior individual-contributor position with substantial architectural, technical and product influence. You will operate across the frontend, internal systems and full-stack product development while working closely with Data and Machine Learning engineers.
You will own complex initiatives from ambiguous problem through production, establish patterns that other engineers can build upon and help the team make sound technical decisions as the company scales.
This is not a people-management role. Your impact will come through architecture, technical leadership, mentorship, execution and cross-functional influence.
What you would do
- Set technical direction for critical backend services, internal systems and full-stack product capabilities.
- Lead the architecture and delivery of complex initiatives from initial design through production deployment and operation.
- Partner with Data and Machine Learning engineers to productionize AI-powered workflows.
- Evaluate and select technology stacks, frameworks and tools based on product and business requirements.
- Establish engineering standards and reusable patterns for scalability, reliability, observability, testing and maintainability.
- Identify technical risks and address architectural bottlenecks before they limit product or team growth.
- Make and communicate thoughtful tradeoffs between delivery speed, system quality, scalability and business priorities.
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