AI Platform Engineer – Cognitive Health & LLM Systems

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

Location:

Overview

Basil Health

About Basil Health

applied AI startup

Large Language Models (LLMs), biosignal intelligence, and cognitive analytics

Indian Army, IIT Kanpur, IIT Mandi, University of Maryland, and Michigan State University

About The Role

Principal AI Engineer

autonomy, ownership, and high-stakes challenges

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 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. 

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

  .