Senior AI/ML Developer

About the Role We are looking for a skilled and passionate Senior AI/ML Developer to join our growing team. You will lead the design and development of intelligent AI systems, agentic applications, and production-grade ML pipelines turning real-world business challenges into scalable AI-powered solutions. Key Responsibilities Design, build, and deploy AI Agents and Agentic workflows using frameworks like LangChain, LangGraph, AutoGen, or CrewAI Develop end-to-end Generative AI applications tailored to specific business use cases (RAG pipelines, chatbots, document intelligence, etc.) Perform LLM fine-tuning and training using techniques such as LoRA, QLoRA, RLHF, and instruction tuning on models like LLaMA, Mistral, or Gemma Build, train, evaluate, and deploy classical and deep learning ML models for classification, regression, NLP, and computer vision tasks Integrate LLMs with external tools, APIs, vector databases (Pinecone, Weaviate, ChromaDB), and memory systems Optimize model performance, latency, and cost for production environments Collaborate with product and engineering teams to translate requirements into AI solutions Stay current with the latest research and apply relevant advancements to ongoing projects Required Skills & Qualifications 5+ years of hands-on experience in AI/ML development Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers) Proven experience building and deploying LLM-based applications and AI Agents Hands-on experience with prompt engineering, few-shot learning, and RAG architectures Experience with cloud platforms (AWS, GCP, or Azure) for model training and deployment Familiarity with MLOps tools (MLflow, DVC, Weights & Biases) and CI/CD pipelines Strong understanding of vector embeddings, semantic search, and knowledge graphs Experience with containerization (Docker, Kubernetes) for model serving Good to Have Contributions to open-source AI/ML projects Experience with multimodal models (vision + language) Knowledge of edge deployment and model quantization Familiarity with monitoring and observability tools for AI systems (LangSmith, Arize, etc.) What We Offer Opportunity to work on cutting-edge AI projects Collaborative and innovation-driven work culture Competitive compensation and growth opportunities Compensation: 1,200,000.00 - 2,000,000.00 per year Benefits Flexible schedule Health insurance Internet reimbursement Provident Fund Work Location: In person About the Role We are looking for a skilled and passionate Senior AI/ML Developer to join our growing team. You will lead the design and development of intelligent AI systems, agentic applications, and production-grade ML pipelines turning real-world business challenges into scalable AI-powered solutions. Key Responsibilities Design, build, and deploy AI Agents and Agentic workflows using frameworks like LangChain, LangGraph, AutoGen, or CrewAI Develop end-to-end Generative AI applications tailored to specific business use cases (RAG pipelines, chatbots, document intelligence, etc.) Perform LLM fine-tuning and training using techniques such as LoRA, QLoRA, RLHF, and instruction tuning on models like LLaMA, Mistral, or Gemma Build, train, evaluate, and deploy classical and deep learning ML models for classification, regression, NLP, and computer vision tasks Integrate LLMs with external tools, APIs, vector databases (Pinecone, Weaviate, ChromaDB), and memory systems Optimize model performance, latency, and cost for production environments Collaborate with product and engineering teams to translate requirements into AI solutions Stay current with the latest research and apply relevant advancements to ongoing projects Required Skills & Qualifications 5+ years of hands-on experience in AI/ML development Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers) Proven experience building and deploying LLM-based applications and AI Agents Hands-on experience with prompt engineering, few-shot learning, and RAG architectures Experience with cloud platforms (AWS, GCP, or Azure) for model training and deployment Familiarity with MLOps tools (MLflow, DVC, Weights & Biases) and CI/CD pipelines Strong understanding of vector embeddings, semantic search, and knowledge graphs Experience with containerization (Docker, Kubernetes) for model serving Good to Have Contributions to open-source AI/ML projects Experience with multimodal models (vision + language) Knowledge of edge deployment and model quantization Familiarity with monitoring and observability tools for AI systems (LangSmith, Arize, etc.) What We Offer Opportunity to work on cutting-edge AI projects Collaborative and innovation-driven work culture Competitive compensation and growth opportunities Compensation: 1,200,000.00 - 2,000,000