> Markdown version of [/jobs/ext/4636219-senior-ml-ai-engineer-enterprise-ai-startup](https://www.wearedevelopers.com/jobs/ext/4636219-senior-ml-ai-engineer-enterprise-ai-startup). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML/AI Engineer, Enterprise AI Startup - **Company:** Bedrock Talent - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Open Source Technology, Software Engineering, Cloud Platform System, Large Language Models, Backend, Agentic-AI, Cloudformation, Information Technology, Terraform, Docker - **Published:** November 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ml-ai-engineer-enterprise-ai-startup--2a486992-9a7a-4e0b-bbb2-78e1bc8dfa1d ## About the Role Artificial Intelligence (AI), Startup, Artificial Intelligence (AI), Business-to-Business (B2B), Natural Language Processing (NLP), Modeling Languages, Product Engineering, Engineering, Proof of Concept, Technical/Engineering Design, We are looking for a Senior Applied AI Engineer who combines practical LLM and NLP experience with strong backend engineering skills., The right person may come from a traditional ML engineering background or be an experienced backend engineer who has successfully built LLM-powered products and agentic workflows. A PhD or research-heavy background is not required., * 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. Nice to have * 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.