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