- BSc in Computer Science, Engineering, Physics, Math, or a related field.
- 4+ years of SWE experience building AI/ML tools in a scientific/engineering research environment
- 1+ years of experience in at least one of these areas: agentic systems, LLM/RAG-based assistants, large-scale NN training and deployment.
- Strong knowledge of queueing system design
- Practical experience querying, maintaining, and migrating SQL databases.
- Proven background in building and deploying production systems on AWS
- Diverse experience with generative AI, including prompting techniques, knowledge retrieval, and agentic systems
- Working knowledge of systematic validation and benchmarking of LLMs.
- Solid understanding of common ML concepts
- Familiarity building CI/CD workflows using technologies like GitHub Actions
- Knowledge of the full lifecycle of software development, including version control, code review, testing, CI/CD, logging, monitoring, debugging, and documentation
- Adept at working with Linux shell, CLI tools, Git, and GitHub
- Strong analytical and problem-solving skills
- Curiosity and enthusiasm about new and unfamiliar technologies with ability to learn technical/scientific concepts quickly with minimal direction
- Strong communication and collaboration skills
- Basic knowledge of physics and linear algebra
Preferred: Experience with LangChain/LangGraph, distributed computing, quantum computing exposure, and strong foundations in physics and linear algebra.