Artificial Intelligence Engineer / Lead

Job Summary We are seeking a talented and passionate AI Developer with 25 years of experience to design, develop, and deploy AI-powered applications and intelligent automation solutions. The ideal candidate should have strong programming skills, hands-on experience with Large Language Models (LLMs), machine learning frameworks, and modern AI technologies. The role involves collaborating with cross-functional teams to build scalable AI solutions that solve real-world business problems. Key Responsibilities Design, develop, and deploy AI/ML applications and intelligent automation solutions. Build applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, or open-source models. Develop Retrieval-Augmented Generation (RAG) based applications using vector databases. Create AI agents and workflow automation using modern AI frameworks. Integrate AI services with existing enterprise applications through APIs. Develop RESTful APIs and backend services for AI applications. Fine-tune, optimize, and evaluate machine learning and LLM models. Work with structured and unstructured datasets for model training and inference. Collaborate with product managers, business analysts, and software engineers to understand business requirements. Optimize AI solutions for performance, scalability, security, and cost. Implement monitoring, logging, and continuous improvement for AI applications. Stay updated with the latest advancements in Artificial Intelligence, Generative AI, and Machine Learning. Required Skills Programming Python (Mandatory) SQL JavaScript or TypeScript (Preferred) AI & Machine Learning Machine Learning fundamentals Deep Learning Generative AI Large Language Models (LLMs) Prompt Engineering Embeddings Vector Search Retrieval-Augmented Generation (RAG) Frameworks & Libraries LangChain LangGraph (Preferred) LlamaIndex Hugging Face Transformers PyTorch or TensorFlow Scikit-learn APIs & Backend FastAPI Flask REST APIs API Integration Databases PostgreSQL MongoDB Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus) Cloud Platforms Experience with one or more: AWS Azure Google Cloud Platform (GCP) DevOps & Tools Git/GitHub Docker Kubernetes (Preferred) CI/CD pipelines (Good to have) Preferred Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field. Experience building production-grade AI applications. Knowledge of AI deployment, MLOps, and model lifecycle management. Familiarity with OpenAI APIs, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs. Understanding of AI security, responsible AI, and data privacy best practices. Required Experience 2-5 years of software development experience. At least 2-3 years of hands-on experience in AI/ML or Generative AI projects. Experience integrating AI solutions into enterprise applications. Experience working in Agile/Scrum environments.