An early-stage startup is looking for a
Lead Engineer
to guide a small, cross-functional team (4) in delivering impactful solutions through fast, iterative development cycles.
The team is building a platform that leverages large language models (LLMs) to convert literature into structured knowledge, helping accelerate discovery
Key Responsibilities
- Drive the technical vision and ensure consistent, high-quality delivery.
- Define and evolve the architecture for data ingestion, processing, and user interface layers.
- Design, develop, and deploy LLM/NLP pipelines .
- Build using Python , GCP , TypeScript , and a mix of open-source and commercial LLMs (e.g., Hugging Face).
- Offer hands-on support to engineers and help remove technical blockers.
- Collaborate closely with domain experts to solve real-world scientific challenges.
- Focus on execution and outcomes, rather than people management.
Requirements
- Strong experience with Python and cloud platforms (GCP preferred).
- Practical knowledge of LLMs or machine learning ,
- Clear communication skills and a strong sense of ownership.
- Proficiency in English (spoken and written).
Nice to Have
- Experience with open source or freemium product development.