Bedrock Talent - Senior ML/AI Engineer, Enterprise AI Startup
Requirements
• Five or more years of professional software engineering, machine learning or applied AI experience. • Strong backend engineering skills, ideally with Python. • Experience building and operating production systems beyond the proof-of-concept stage. • Hands-on experience with LLMs, NLP and applied machine learning. • Experience using commercial, open-source or proprietary language models. • Experience designing or building agentic workflows. • Strong system-design, analytical and technical problem-solving skills. • A product-oriented mindset and comfort working with evolving requirements. • The ability to move quickly while maintaining a high standard for production quality. • Clear communication, intellectual honesty and a low-ego approach to collaboration. • A bachelor’s or master’s degree in computer science, engineering or a related field, or equivalent practical experience. • Experience deploying AI or backend systems on AWS or another major cloud platform. • Familiarity with Docker and production containerization. • Experience with infrastructure as code, including Terraform or CloudFormation. • Experience in an early-stage or high-growth startup. • Experience working directly with customers or product users. • Exposure to data-intensive, enterprise or regulated-industry products. • Location and working model • The company is headquartered in New York City and prefers candidates who are based in or near NYC. • There is flexibility for exceptional remote candidates. Remote employees should expect to spend approximately one week with the team in New York every few months. • Candidates must already have authorization to work in the United States. The company does not currently support visa sponsorship or transfers.
Responsibilities
• Design, build and operate production-grade AI systems using LLMs, NLP and applied machine learning. • Develop agentic workflows that solve complex, real-world product problems. • Own core AI capabilities from initial experimentation through production deployment and ongoing improvement. • Collaborate with Product, Data and go-to-market stakeholders to translate customer needs into scalable technical solutions. • Select the appropriate models, frameworks and infrastructure for experimentation, evaluation, testing and monitoring. • Build reliable backend services and integrations around AI-powered product features. • Establish practical approaches to evaluating model quality, system reliability and user impact. • Work directly with users to test solutions, gather feedback and iterate quickly. • Make and communicate thoughtful tradeoffs between development speed, accuracy, reliability and scalability.
Benefits
• Own meaningful AI systems from architecture through production. • Work directly with a highly technical founding team. • Build practical LLM and agentic products used in real, high-stakes workflows. • Collaborate closely across AI, Data, Product and Platform Engineering. • Help shape the technical direction of a growing, well-capitalized AI company.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT