Sr Agentic Systems Engineer

About the role

We are looking for an experienced Agentic Systems Engineer who is passionate about designing, building, and productionizing intelligent, autonomous systems powered by LLMs, AI agents, tool use, and modern orchestration frameworks. In this role, you will develop reliable agentic applications, RAG pipelines, and tool integrations within an established platform architecture—connecting AI agents to enterprise systems across multiple business use cases.

What you'll do

• Build and ship AI-powered applications using Python and/or Node.js, working within established LLM orchestration frameworks (LangChain, LangGraph, etc.)
• Implement agentic workflows — multi-step, tool-using agents that call APIs, vector stores, and databases according to defined design patterns
• Build and tune RAG pipelines for enterprise use cases
• Integrate and extend NLP/NLU models, prompt templates, and embeddings for conversational, classification, and automation tasks
• Build and maintain agent integrations with enterprise applications across multiple business use cases, via REST APIs, connector frameworks, or MCP-style tool registries

What you need

• 6–11 years in data science & ai
• LLMs
• AWS
• SQL
• Python
• CI/CD
• GCP
• Any graduate

Good to have

• Docker
• NLP
• ETL
• Prompt engineering
• Node.js
• REST APIs