Salary
💰 $200,000 - $275,000 per year
About the role
- Work closely with the founding team to build and ship AI-native products.
- Transform academic AI research into performant, business-oriented solutions.
- Design & implement LLM-powered products, such as prompting, agents, experimentation, LLM Ops, measuring quality & performance.
- Evaluate and productize various types of LLMs for our product use cases
- Stay at the forefront of NLP advancements: function calling, embedding techniques, reasoning frameworks, agent architectures
- Own your work end-to-end and integrate the research into our product
Requirements
- 2+ years of LLM experience
- Deep expertise across the LLM lifecycle (pre-training, fine-tuning, inference, agent systems)
- Hands-on experience on designing and building eval dataset and pipeline
- Proven track record delivering production-grade AI solutions with measurable business impact
- Strong applied AI/ML research background with practical problem-solving abilities
- Experience shipping LLM applications to production and optimizing post-deployment performance
- Proficiency with different LLM techniques (prompt engineering and agents) & toolings (RAG and MCP)
- Intuitive understanding of LLM architecture and the best practices of implementation
- MS/Phd in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Offers Equity
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLM experienceLLM lifecyclepre-trainingfine-tuninginferenceagent systemseval dataset designproduction-grade AI solutionsapplied AI/ML researchLLM techniques
Soft skills
problem-solvingownershipcollaboration
Certifications
MS in Computer SciencePhD in Artificial IntelligencePhD in Machine Learning