You'll play a central role in developing advanced systems that combine natural language processing, large language models, and agentic workflows. Your work will directly influence how the platform interprets, synthesizes, and responds to complex queries through code generation and document understanding.
What You'll Do
- Design and implement intelligent pipelines that automate analytical processes using NLP and machine learning techniques.
- Create robust evaluation methodologies to measure and improve the performance of query processing systems.
- Collaborate directly with founders and customers to identify key challenges and shape the product's technical direction.
- Help define engineering standards, tooling, and architectural decisions as a foundational member of the team.
Requirements
- Demonstrated expertise in solving difficult NLP problems with strong analytical reasoning.
- Degree in Computer Science or a closely related technical field at the Bachelor's or Master's level.
Preferred Qualifications
- Experience with search and retrieval systems, LLM fine-tuning or application, and evaluation frameworks for AI models.
- Background working in agile, fast-moving environments such as startups or early-stage technology teams.
Benefits
- Opportunity to shape the technical vision of a growing AI company from the ground up.
- Direct collaboration with founders and early clients to drive product innovation.
- Work on meaningful problems in context synthesis, code generation, and intelligent agent design.
- Engineering-driven culture where technical insights directly influence roadmap and architecture.
