Senior ML/AI Engineer

A fast-paced, innovation-driven startup is seeking a highly skilled and experiencedSenior ML/AI Engineer with deep expertise inLarge Language Models (LLMs). The ideal candidate is asoftware engineer proficient in Python, machine learning, and data systems, with hands-on,production-level experience using LLMs (such asBedrock, LangGraph, etc.) within thepast 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 inPython, machine learning, and data infrastructure

• Demonstratedproduction-level experience withLLMs (e.g., Bedrock, LangGraph, LLaMA) within thelast 2 years

• Deep knowledge of AWS services, especially AWS Bedrock

• Experience with AI/ML frameworks like TensorFlow or PyTorch

• 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