Senior AI Lead
Location: On-site
Job Type: Full-Time
About eGenome.ai
eGenome.ai is an AI first health-tech platform, that aspires to be the service provider for the one and the only health plan you are going to need for life, tracking your health in real time, identifying your vulnerabilities to critical illnesses resulting in timely interventions, manage your weight and retain/build muscle mass, get personalized diet/lifestyle interventions that work for you.
eGenome.ai’s offering includes access to a 24X7 AI Doctor for consultation on any disorder or to take a second opinion. The Company also has a dedicated array of high-quality snacks and supplements under the B’spoke brand to cater to the gaps in the current market. The company was founded by serial entrepreneurs who have a track record of creating trailblazers including the first electric truck in India (IPLTech Rhino) and the one-of-its kind logistics platform for heavy trucks/bulkers (Infraprime Logistics).
They have managed to crack hard to enter markets with an extraordinary array of perseverance, clarity of purpose and creativity. The Company is well capitalized and is expected to be a leader in several categories within next two years. This is the opportunity for you to associate with the mega launch of a pathbreaking products within next 3-4 months, while working closely with the founders thereby playing an instrumental role in shaping the company’s growth and persona. On offer is best-in-class competitive compensation package and a flexible working environment with plenty of creative freedom.
Role Overview:
We're looking for a visionary and hands-on AI Lead to architect, build, and scale our AI/ML systems. You will lead a team of researchers and engineers in developing machine learning models for biomarker prediction, supplement recommendation engines, health chatbots, and custom LLM-based applications. This is a high-impact leadership role that blends strategy, technical depth, and execution.
Key Responsibilities:
- Own and lead the end-to-end development of AI products — from problem formulation to model deployment.
- Build predictive models using genomic, biomarker, and clinical data (e.g., cardiovascular risk prediction).
- Fine-tune and deploy open-source LLMs for health-related chatbots and retrieval- augmented generation (RAG) systems.
- Oversee the development of recommender systems for personalized supplements and diagnostics.
- Collaborate closely with biology, product, and engineering teams to integrate AI into real-world workflows.
- Mentor and grow a small but high-performing AI team.
- Stay updated with the latest in AI, particularly in biomedical applications, and translate research into production.
Must-Have Qualifications:
- Experience in machine learning, with at least 1–2 years in a leadership or senior IC role.
- Strong knowledge of supervised learning, deep learning, and NLP.
- Experience with biomedical datasets (e.g., omics data, biomarkers, EHRs) is a major plus.
- Hands-on experience with LLMs (e.g., Llama 2, Mistral, GPT), RAG pipelines, and vector databases (e.g., ChromaDB, FAISS).
- Experience with Python, PyTorch/TensorFlow, Hugging Face, LangChain, and ML deployment tools (e.g., Docker, FastAPI, MLfow).
- Strong problem-solving skills and ability to work in a fast-paced, collaborative startup environment.