Agentic AI Engineer

Job Summary We are seeking a highly skilled Agentic AI Engineer / Data Scientist to design, develop, and deploy advanced AI-driven systems capable of autonomous reasoning, decision-making, and workflow orchestration. The ideal candidate will have strong expertise in Generative AI, LLMs, AI agents, machine learning, and data science, along with hands-on experience building scalable AI applications in cloud environments. This role involves developing intelligent AI agents, integrating large language models, building ML pipelines, and collaborating with cross-functional teams to deliver innovative AI solutions for enterprise applications. Key Responsibilities • Design and develop Agentic AI systems using LLMs, autonomous agents, and multi-agent frameworks • Build and deploy AI/ML models for prediction, automation, and intelligent decision-making • Develop AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel • Fine-tune and optimize LLMs including GPT, Llama, Claude, Gemini, or open-source models • Create scalable data pipelines for structured and unstructured data processing • Implement Retrieval-Augmented Generation (RAG) architectures and vector databases • Work with cloud platforms such as AWS, Azure, or GCP for AI deployment and MLOps • Collaborate with business stakeholders, product teams, and engineers to define AI use cases • Develop APIs and integrate AI solutions into enterprise applications • Monitor model performance, accuracy, and scalability in production environments • Ensure AI solutions comply with security, governance, and responsible AI standards Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field • 5+ years of experience in AI/ML engineering or data science • Strong programming skills in Python • Hands-on experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch • Experience with Generative AI and Large Language Models (LLMs) • Expertise in prompt engineering, RAG, embeddings, and vector databases • Knowledge of AI agent frameworks like LangChain, CrewAI, AutoGen, or LangGraph • Experience with SQL, NoSQL, and big data technologies • Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices • Experience with cloud AI services on AWS, Azure, or GCP Preferred Qualifications • Experience with multi-agent AI systems and autonomous workflows • Knowledge of NLP, Computer Vision, or Reinforcement Learning • Experience with AI observability and evaluation frameworks • Exposure to enterprise AI governance and AI security practices • Certifications in Cloud AI or Machine Learning are a plus Technical Skills • Python, SQL, APIs • TensorFlow, PyTorch, Scikit-learn • LangChain, LangGraph, CrewAI, AutoGen • OpenAI, Azure OpenAI, Anthropic Claude, Gemini • Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB • Docker, Kubernetes, GitHub Actions • AWS / Azure / GCP • Data Engineering & MLOps Soft Skills • Strong analytical and problem-solving abilities • Excellent communication and stakeholder management skills • Ability to work in agile and fast-paced environments • Strong collaboration and leadership mindset Nice to Have • Experience building AI copilots or enterprise chatbots • Knowledge of AI orchestration and workflow automation • Experience in healthcare, finance, manufacturing, or enterprise domains • Exposure to Responsible AI and AI ethics frameworks