AI/LLM Engineer - Agent Frameworks & Intelligent Systems

Role Summary




We are looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems that can reason, plan, and act autonomously. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks, along with a solid understanding of data platforms and scalable architectures.




Key Responsibilities




Agent & AI System Development




Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar
Develop intelligent components capable of reasoning, planning, and executing tasks autonomously
Implement advanced cognitive patterns such as ReAct (Reasoning + Acting)
LLM Capabilities & Enhancements




Develop and integrate memory, tool usage, and context management capabilities (MCP)
Build systems that leverage tool calling, chaining, and orchestration of LLM workflows
Collaborate with prompt engineers to enhance model responses and performance
Engineering & Development




Write high-quality, scalable code using Python (including async programming)
Build and maintain APIs and microservices for AI/agent-based applications
Ensure systems are efficient, reliable, and production-ready
Guardrails & Responsible AI




Design and implement guardrails and safety mechanisms for LLM-driven systems
Ensure robust handling of edge cases, failure scenarios, and unintended outputs
Data & Platform Integration




Work with modern data platforms such as:
Snowflake
Databricks
Lakehouse architectures
Integrate AI solutions with enterprise data pipelines and systems




Skills: Digital : Artificial Intelligence(AI)~Digital : Snowflake~Digital : Databricks~AI Agents
Experience Required: 8-10