Generative AI&Agentic Systems Engineer

<p>AI/ML Engineer – Generative AI&Agentic Systems<br><br>Role Overview<br><br>We are seeking an experienced AI/ML Engineer with strong expertise in Python, Generative AI,<br><br>and Agentic AI systems to design, develop, and deploy intelligent AI solutions. The ideal<br><br>candidate has hands‑on experience building AI agents, LLM-powered applications, and<br><br>end‑to‑end machine learning pipelines.<br><br>Key Responsibilities<br><br><ul><li>Build, fine‑tune, and optimize Large Language Models (LLMs).</li><li>Develop RAG pipelines and prompt engineering strategies.</li><li>Design multi-step autonomous AI agents and workflows.</li><li>Build ML models and maintain ML pipelines in Python.</li><li>Write scalable, production‑ready Python code.</li><li>Integrate AI capabilities into apps and cloud platforms.<br><br></li></ul>Hands on Azure and AWS Infrastucture deployments<br><br><strong>Required Skills&Experience<br><br></strong><ul><li>Strong proficiency in Python (NumPy, pandas, FastAPI, LangChain,<br><br></li></ul>PyTorch/TensorFlow).<br><br><ul><li>Expertise in Generative AI (GenAI) and LLM tools.</li><li>Experience building AI Agents and Agentic AI workflows.</li><li>Knowledge of embeddings, vector DBs, and model evaluation.</li><li>ML fundamentals, MLOps, and production deployment.<br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>Experience with enterprise AI agents or automation workflows.</li><li>Knowledge of Azure ML, AWS Sagemaker, or Vertex AI.</li><li>Experience designing agent frameworks and memory modules.</li><li>Minimum 5 years of hand on experience</li></ul></p>#J-18808-Ljbffr