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Senior AI Engineer, Agentic Systems - aitp
AI Engineer
Lead the design and deployment of advanced agentic AI systems, leveraging deep learning, reinforcement learning, and NLP to create autonomous agents that adapt and learn in real‑time environments.
About the role
Key Responsibilities
- Architect and implement end‑to‑end agentic AI pipelines using Python, PyTorch, and TensorFlow.
- Develop reinforcement learning algorithms that enable agents to learn from sparse rewards and complex state spaces.
- Integrate natural language understanding modules to allow agents to interpret and generate human‑like dialogue.
- Deploy scalable models on AWS (SageMaker, ECS) and containerize services with Docker.
- Collaborate with cross‑functional teams to define product requirements and translate them into technical specifications.
- Conduct rigorous testing, performance tuning, and continuous improvement of agentic systems.
Requirements
- 5+ years of experience in AI/ML engineering with a focus on deep learning and reinforcement learning.
- Proficiency in Python and experience with PyTorch/TensorFlow.
- Strong background in NLP techniques and libraries (e.g., Hugging Face, spaCy).
- Hands‑on experience deploying ML models on AWS and managing Docker containers.
- Excellent problem‑solving skills and a passion for building autonomous intelligent systems.
Skills
pythonmachine learningdeep learningreinforcement learningnatural language processingawsdocker