AI Platform Engineer

Job Title: AI Platform Engineer – Cognitive Health & LLM Systems   Location: Delhi | Employment Type: Full-Time | Work Type: Onsite    Welcome to Basil Health — where Neuroscience meets Artificial Intelligence to redefine mental wellness.  About Basil Health   Basil Health is an applied AI startup transforming healthcare through intelligent technology. Our mission is to empower healthcare providers and patients with AI-driven insights that improve wellness, optimize patient care, and deliver personalized mental and physical health interventions.  We leverage advanced Large Language Models (LLMs), biosignal intelligence, and cognitive analytics to detect health patterns, monitor stress and anxiety, and provide science-backed, non-medical interventions. At Basil Health, your work will not only advance AI research but directly improve lives and healthcare outcomes . Validated by global institutions like the Indian Army, IIT Kanpur, IIT Mandi, University of Maryland, and Michigan State University , Basil Health is building the next era of neurotech-driven, cost-efficient cognitive wellness . At Basil Health, your work will be deployed in the real world, not stuck in research. As a Principal AI Engineer , you will play a pivotal role in building and deploying state-of-the-art AI systems from scratch . You will own the full lifecycle of AI models , turning research breakthroughs into practical, scalable solutions that enhance cognitive wellness and optimize mental performance.  This is a role for someone who thrives on autonomy, ownership, and high-stakes challenges , who is energized by building systems from zero , and who takes pride in delivering tangible results that create measurable impact . You will collaborate with product, research, and engineering teams , directly influencing the architecture, performance, and deployment of AI modules that enhance cognitive performance and operational outcomes .    Architect & Build from Zero: Lead the design, development, and deployment of LLMs and cognitive AI modules from scratch, turning research prototypes into scalable, production-ready systems .  End-to-End LLM Development: Design, train, fine-tune, and deploy Large Language Models using PyTorch, TensorFlow, or Hugging Face Transformers.  Edge & Private Deployments: Integrate LLMs for on-device, local, and private deployments using tools like Ollama, LangChain, LM Studio, or llama.cpp , optimized for performance, efficiency, and privacy .  Drive Cognitive Intelligence: Build systems that analyze focus, stress, and cognitive signals , delivering actionable insights that directly enhance human performance.  Lead NLP & Search Innovation: Own prompt engineering, embedding strategies, and vector search pipelines (FAISS, Qdrant, Weaviate) to enable intelligent, real-time decision-making .  Translate Research into Impact: Turn state-of-the-art AI and cognitive research into deployable systems that deliver measurable real-world outcomes .  Collaborate & Influence: Work cross-functionally to shape solutions, establish engineering standards, and drive operational excellence in every system you touch.  Stay Ahead: Maintain deep awareness of open-source and proprietary LLM ecosystems (e.g., Meta, OpenAI, Mistral) and leverage emerging tools to continuously enhance Basil Health’s AI capabilities.  B.Tech/M.Tech in Computer Science, Electronics, or Electrical Engineering from a top-tier institute (IIT, NIT, BITS).  ~3–5+ years of hands-on experience in AI/ML, deep learning, and LLM development.  ~ Demonstrated success in building AI models from scratch and deploying end-to-end solutions .  ~ Expertise with Transformers (GPT, LLaMA, Mistral, Falcon, Claude) and tools like Python, Linux, Docker, Kubernetes, Hugging Face, LangChain .  ~ Experience with cognitive data, biosignals, or time-series analytics .  Familiarity with RAG pipelines, multi-modal AI models, and cloud platforms (AWS, GCP, Azure).  Published research, patents, or open-source contributions in AI/ML.  Build from Day One: You will own end-to-end AI projects , taking ideas from concept to production and seeing them deployed at scale .  Work on real-world AI applications that enhance cognitive wellness and mental performance.  Collaborate with top-tier AI researchers and engineers in a fast-moving, high-impact environment.  Competitive salary, performance-based bonuses, and equity— ownership and rewards based on impact, not tenure .