AI Research Engineer

Job Title:
AI Research Engineer – Private LLM & Cognitive Systems

Location:
Delhi

Type:
Full-Time

Experience Level:
Senior / Expert

Start Date:
Immediate

About Brainwave Science:

Brainwave Science

is a leader in cognitive technologies, specializing in solutions for the security and intelligence sectors. Our flagship product,
iCognative

, leverages real-time cognitive response analysis using Artificial Intelligence and Machine Learning techniques to redefine the future of investigations, defense, counterterrorism, and counterintelligence operations. Beyond security,
Brainwave Science

is at the forefront of healthcare innovation, applying our cutting-edge technology to identifying diseases, various neurological conditions, and mental health challenges in advance and identification of stress and anxiety in real time and providing non-medical, science-backed interventions. Together, we are shaping a future where advanced technology strengthens security, promotes wellness, and creates a healthier, safer world for individuals and communities worldwide. 

About the Role

We are seeking an experienced and forward-thinking
AI/ML Engineer – LLM & Deep Learning Expert
to design, develop, and deploy
Large Language Models (LLMs)
and intelligent AI systems. You will work on
cutting-edge projects
at the intersection of
natural language processing
,
edge AI
, and
biosignal intelligence
, helping drive innovation across defense, security, and healthcare use cases.

This role is ideal for someone who thrives in experimental environments, understands private and local LLM deployments, and is passionate about solving
real-world challenges
using advanced AI.

Responsibilities

• Design, train, fine-tune, and deploy
  Large Language Models
  using frameworks like
  PyTorch
  ,
  TensorFlow
  , or
  Hugging Face Transformers
• Integrate LLMs for
  local/edge deployment
  using tools like
  Ollama
  ,
  LangChain
  ,
  LM Studio
  , or
  
• Build NLP applications for
  intelligent automation
  ,
  investigative analytics
  , and
  biometric interpretation
• Optimize models for
  low-latency
  ,
  token efficiency
  , and
  on-device performance
• Work on
  prompt engineering
  ,
  embedding tuning
  , and
  vector search integration
  (FAISS, Qdrant, Weaviate)
• Collaborate with technical and research teams to deliver scalable AI-driven features
• Stay current with developments in
  open-source
  and
  closed-source
  LLM ecosystems (e.g., Meta, OpenAI, Mistral)

Must-Have Requirements

• B.Tech/M.Tech
  in
  Computer Science (CSE)
  ,
  Electronics & Communication (ECE)
  , or
  Electrical & Electronics (EEE)
  from
  IIT, NIT, or BITS
• Minimum
  3
  -
  4 years of hands-on experience
  in
  AI/ML, deep learning
  , and
  LLM development
• Deep experience with
  Transformer models
  (e.g., GPT, LLaMA, Mistral, Falcon, Claude)
• Hands-on with tools like
  LangChain
  ,
  Hugging Face
  ,
  Ollama
  ,
  Docker
  , or
  Kubernetes
• Proficiency in
  Python
  , and strong knowledge of
  Linux environments
• Strong understanding of
  NLP
  ,
  attention mechanisms
  , and
  model fine-tuning

Preferred Qualifications

• Experience with
  biosignals
  , especially
  EEG
  or
  time-series data
• Experience deploying custom-trained LLMs on
  proprietary datasets
• Familiarity with
  RAG pipelines
  and
  multi-modal models
  (e.g., CLIP, LLaVA)
• Knowledge of
  cloud platforms
  (AWS, GCP, Azure) for scalable model training and serving
• Published research, patents, or open-source contributions in AI/ML communities
• Excellent communication, analytical, and problem-solving skills

What We Offer

• Competitive compensation based on experience
• Flexible working hours and remote-friendly culture
• Access to high-performance compute infrastructure
• Opportunities to work on groundbreaking AI projects in healthcare, security, and defense