Senior ML/AI Engineer
$200k to $260k
Against the New York City typical range
Job description
A fast-paced, innovation-driven startup is seeking a highly skilled and experienced Senior ML/AI Engineer with deep expertise in Large Language Models (LLMs) . The ideal candidate is a software engineer proficient in Python, machine learning, and data systems , with hands-on, production-level experience using LLMs (such as Bedrock, Lang.
Graph , etc.) within the past two years . This role requires a strong balance between immediate product delivery and future scalability.
Responsibilities
Design, build, and maintain AI pipelines on AWS for LLaMA and other LLMs Leverage AWS Bedrock to develop scalable AI applications Develop and manage knowledge-based systems to enhance model outputs Train, fine-tune, and optimize LLMs for diverse use cases Apply prompt engineering techniques to improve model performance and UX Collaborate with product and engineering teams to integrate AI solutions Stay current with AI/ML research and incorporate relevant advancements Diagnose and resolve model performance and pipeline issues Document workflows, experiments, and key learnings Requirements M.
S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field Proven software engineering skills with strong proficiency in Python, machine learning, and data infrastructure Demonstrated production-level experience with LLMs (e.g., Bedrock, Lang. Graph, LLaMA) within the last 2 years Deep knowledge of AWS services, especially AWS Bedrock Experience with AI/ML frameworks like Tensor.
Flow or Py. Torch Hands-on experience with prompt engineering and model optimization Prior startup experience is strongly preferred Strong problem-solving skills and ability to work independently and collaboratively Excellent communication skills, especially when translating complex technical ideas to non-technical stakeholders Preferred Qualifications Experience with predictive modeling and optimization techniques Familiarity with backend systems in startup environments Understanding of MLOps tools and workflows Contributions to open-source AI projects Perks Work on meaningful, real-world AI applications Join a high-growth team with solid backing and vision Access to educational support for professional and technical development
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