remote
AI Engineer Agentic AI - Agent X
AI Engineer
AI Engineer focused on building and deploying agentic AI solutions that automate business processes, leveraging Python, ML, NLP, and reinforcement learning to deliver high ROI for clients.
About the role
Key Responsibilities
- Design, develop, and ship end‑to‑end agentic AI systems that automate repetitive business tasks for enterprise clients.
- Implement advanced NLP and reinforcement learning models to enable agents to learn from real‑world interactions.
- Collaborate with product and data teams to define agent capabilities, performance metrics, and ROI benchmarks.
- Maintain and scale production‑grade AI pipelines on cloud infrastructure, ensuring reliability and low latency.
- Continuously evaluate emerging AI research and integrate cutting‑edge techniques to keep solutions ahead of the market.
Requirements
- Strong proficiency in Python and experience building production ML systems.
- Hands‑on experience with NLP libraries (e.g., Hugging Face, spaCy) and reinforcement learning frameworks.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
- Effective communication skills to explain complex AI concepts to non‑technical stakeholders.
Skills
pythonmachine learningnlpreinforcement learning