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, counter terrorism, 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 ,  Tensor Flow , or  Hugging Face Transformers
Integrate LLMs for  local/edge deployment  using tools like  Ollama ,  Lang Chain ,  LM Studio , or  llama.cpp
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  Lang Chain ,  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