Applied AI Engineer

Key Responsibilities :

• Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel.
• Engineer prompt strategies for task-specific agent workflows (e.G., document classification, summarization, labeling, sentiment detection).
• Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops.
• Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory / state management.
• Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments.
• Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability.
• Monitor and refine agent performance using logging, observability tools, and feedback signals.

Required Qualifications :

1+ year in agent-based architectures or LLM-enabled automation.

Preferred Skills :

Why Join Us :