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 ,leveragesreal-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 ourcutting-edgetechnology toidentifyingdiseases, 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 areshapinga future where advanced technology strengthens security, promotes wellness, and creates a healthier, safer world for individuals and communities worldwide.

About the Role

We areseekingan experienced and forward-thinkingAI/ML Engineer LLM & Deep LearningExpert to design, develop, anddeployLarge Language Models (LLMs) and intelligent AI systems. You will work oncutting-edgeprojects at the intersection ofnatural language processing ,edge AI , andbiosignalintelligence , 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 solvingreal-world challenges using advanced AI.

Responsibilities

• Design, train, fine-tune, and deployLarge Language Models using frameworks likePyTorch ,TensorFlow , orHugging Face Transformers
• Integrate LLMs forlocal/edge deployment using tools likeOllama ,LangChain ,LM Studio , orllama.cpp
• Build NLP applications forintelligent automation ,investigative analytics , andbiometric interpretation
• Optimizemodels forlow-latency ,token efficiency , andon-device performance
• Work onprompt engineering ,embedding tuning , andvector search integration (FAISS,Qdrant,Weaviate)
• Collaborate withtechnicalandresearchteams to deliver scalable AI-driven features
• Stay current with developments inopen-source andclosed-source LLM ecosystems (e.g., Meta, OpenAI, Mistral)

Must-Have Requirements

• B.Tech/M.Tech inComputer Science (CSE) ,Electronics & Communication (ECE) , orElectrical & Electronics (EEE) fromIIT, NIT, or BITS
• Minimum3 -4 years of hands-on experience inAI/ML, deep learning , andLLM development
• Deep experience withTransformer models (e.g., GPT,LLaMA, Mistral, Falcon, Claude)
• Hands-on with tools likeLangChain ,Hugging Face ,Ollama ,Docker , orKubernetes
• ProficiencyinPython , and strong knowledge ofLinux environments
• Strong understanding ofNLP ,attention mechanisms , andmodel fine-tuning

Preferred Qualifications

• Experience withbiosignals , especiallyEEG ortime-series data
• Experience deploying custom-trained LLMs onproprietary datasets
• Familiarity withRAG pipelines andmulti-modal models (e.g., CLIP,LLaVA)
• Knowledge ofcloud 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