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