
Agentic AI Engineer
13 hours ago
- 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.
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