Senior ML/AI Engineer, Enterprise AI Startup

Bedrock Talent

5d • Hybrid

About The Position

Bedrock Talent is partnering with a well-funded, founder-led B2B AI company building mission-critical software for complex, highly regulated industries. Its platform applies large language models and natural language processing to dense, high-stakes information, transforming it into reliable and actionable workflows. This allows customers to make better decisions, reduce manual research and bring products to market faster. The company has approximately 18 employees, including a seven-person technical organization spanning Data, ML and Platform/Product Engineering. Engineers work closely with the founders, customers and one another, with very few organizational layers.

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.
• Candidates must already have authorization to work in the United States. The company does not currently support visa sponsorship or transfers.

Nice To Haves

• 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.

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.
• Join a small organization where individual engineers have substantial influence.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree