Job Title:AI Research Engineer – Private LLM & Cognitive SystemsLocation:Delhi Type:Full-Time Experience Level:Senior / Expert Start Date:Immediate About Brainwave Science:Brainwave Scienceis 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 Scienceis 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 RoleWe are seeking an experienced and forward-thinkingAI/ML Engineer – LLM & Deep Learning Expertto design, develop, and deployLarge Language Models (LLMs)and intelligent AI systems. You will work oncutting-edge projectsat the intersection ofnatural language processing ,edge AI , andbiosignal 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 solvingreal-world challengesusing advanced AI.Responsibilities Design, train, fine-tune, and deployLarge Language Modelsusing frameworks likePyTorch ,TensorFlow , orHugging Face Transformers Integrate LLMs forlocal/edge deploymentusing tools likeOllama ,LangChain ,LM Studio , orllama.cpp Build NLP applications forintelligent automation ,investigative analytics , andbiometric interpretation Optimize models forlow-latency ,token efficiency , andon-device performance Work onprompt engineering ,embedding tuning , andvector search integration(FAISS, Qdrant, Weaviate) Collaborate with technical and research teams to deliver scalable AI-driven features Stay current with developments inopen-sourceandclosed-sourceLLM ecosystems (e.g., Meta, OpenAI, Mistral)Must-Have RequirementsB.Tech/M.TechinComputer Science (CSE) ,Electronics & Communication (ECE) , orElectrical & Electronics (EEE)fromIIT, NIT, or BITS Minimum3 - 4 years of hands-on experienceinAI/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 Proficiency inPython , and strong knowledge ofLinux environments Strong understanding ofNLP ,attention mechanisms , andmodel fine-tuning Preferred Qualifications Experience withbiosignals , especiallyEEGortime-series data Experience deploying custom-trained LLMs onproprietary datasets Familiarity withRAG pipelinesandmulti-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 skillsWhat 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
Job Title
AI Research Engineer