AI Engineer

About the job

Responsibilities Design and Develop AI Agents: Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.g., LangChain, CrewAI, AutoGen). Integrate APIs and Tools: Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution. Optimize Agent Performance: Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy. Develop End-to-End Pipelines: Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement. Collaborate with Cross-Functional Teams: Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systems.

Requirements

• AI Agents
• LLMs
• APIs integration
• reinforcement learning

Qualifications

• Bachelor's or Master's degree in relevant field

Preferred Technologies

• AI Agents
• LLMs
• APIs integration
• reinforcement learning

About the company

eClerx is a company with expertise in AI and ML services. They offer solutions encompassing various industries and help organizations optimize their processes and achieve their business goals with innovative technological solutions.