AI Platform Engineer – Cognitive Health & LLM Systems

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 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 .