AI Platform Engineer – Cognitive Health

Job Title: AI Platform Engineer – Cognitive Health & LLM Systems

Location:
Delhi |
Employment Type:
Full-Time |
Work Type:
Onsite

Overview

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. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one

. 

About The Role

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
.

What You'll Do

• 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
  , 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.

Who You Are

Must-Have:

• 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
  .
• Deep understanding of
  NLP, attention mechanisms, and model fine-tuning
  .

Preferred:

• Experience with
  cognitive data, biosignals, or time-series analytics
  .
• Deploying
  custom-trained LLMs on proprietary datasets
  .
• Familiarity with
  RAG pipelines, multi-modal AI models, and cloud platforms
  (AWS, GCP, Azure).
• Published research, patents, or open-source contributions in AI/ML.
• Exceptional
  problem-solving, analytical, and collaborative skills
  .

Why You Should Join

• 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.
• Access
  state-of-the-art compute infrastructure
  and advanced tools.
• Competitive salary, performance-based bonuses, and equity—
  ownership and rewards based on impact, not tenure
  .
• Thrive in a culture built on
  speed, innovation, and measurable outcomes
  .