The posting
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, LangGraph, 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, LangGraph, LLaMA) within the last 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



