AI Engineer
Who We Are
Company Overview
PhnyX Lab, founded in 2024 and based in Silicon Valley, California, is a Stanford-based AI startup on a mission to revolutionize the pharmaceutical and medical industries.
We’ve built Cheiron, a generative AI platform purpose-built for pharma, and in just 4 months since launch, we’ve captured 30% market share in the Korean pharmaceutical sector and are already generating meaningful revenue.
All of this has been achieved pre-VC, backed instead by a $6M+ raise from leading angels—including several international tycoon families like SK and Samsung, and two co-authors of “Attention is All You Need.”
We’re now growing our core team in Palo Alto and looking for exceptional AI and software engineers to join as founding engineers. If you're excited to shape core infrastructure, ship cutting-edge GenAI products, and build systems that will redefine how pharmaceutical companies work—you’ll thrive here.
LinkedIn: https://www.linkedin.com/company/phnyx-lab/
News: The Korea Herald, Korea Biomedical Review
Key Responsibilities
As an AI/ML Engineer at PhnyX Lab, your primary focus will be on architecting and developing robust, scalable, and secure AI/ML pipelines. You will play a crucial role in researching, identifying, and implementing state-of-the-art (SOTA) methodologies and frameworks to enhance our generative AI solutions. You will get real hands-on experience from taking a pipeline from prototype to a real product used by major pharmaceutical companies worldwide.
- Design, build, and maintain scalable, secure, and robust machine learning pipelines in a production environment. Conducting research and literature surveys to identify and integrate state-of-the-art (SOTA) approaches will be an essential part of the job
- Define and implement evaluation metrics and testing protocols for each task and pipeline
- Analyze results, document findings, and communicate recommendations to technical and non-technical team members
- Iterate on pipelines, quickly prototyping and refining new solutions for optimal performance
Key Skill Sets
- Bachelor's degree or higher in Computer Science, Machine Learning, AI, or related fields.
- Proven research, analytical, and problem-solving skills through experience or projects
- Solid understanding and hands-on experience with Generative AI, LLMs, and related tech
- Proficiency with Python and frameworks like PyTorch, TensorFlow, Hugging Face, etc.
- Skilled in working with modern data storage solutions (e.g., vector DBs like Pinecone, Elasticsearch, etc.).
- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
Nice to have:
- Previous experience in healthcare, biotechnology, or pharmaceutical industries
- Knowledge of agentic orchestration frameworks (e.g., Langraph, AutoGPT, AgnoAI, etc.).
- Published research or active contributions to open-source AI/ML communities.
- Start-up experience or demonstrated ability to thrive in fast-paced environments.
The compensation for this full-time position is between 120k - 250k including bonus. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training.