Agentic AI Engineer

Design and build agentic AI systems capable of autonomous reasoning, decision-making, and execution.

Develop and optimize AI / ML models using Python and modern AI frameworks.

Integrate LLMs, generative AI models, and reinforcement learning agents into production-grade systems.

Architect scalable, modular, and secure solutions for AI-driven applications.

Collaborate with cross-functional teams (Data Scientists, ML Engineers, Product Managers) to deliver end-to-end AI solutions.

Stay up to date with the latest research and advancements in autonomous agents, generative AI, and ML engineering.

Ensure AI systems meet compliance, performance, and security standards.

Required Skills & Experience

5+ years of hands-on experience in AI / ML engineering.

Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).

Proven experience with Agentic AI frameworks (e.g., LangChain, AutoGPT, crewAI, or similar).

Solid background in machine learning, deep learning, and generative AI (LLMs, foundation models).

Experience in developing APIs, microservices, and productionizing AI models.

Strong knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps practices.

Excellent problem-solving skills, analytical mindset, and ability to work in agile environments.