Description

Location - Client site, Bangalore

Hybrid - 3 days weekly

Total 8+ years of experience, Build agents/components that reason, plan and act

Key Responsibilities

- Design and deploy advanced AI agents using LangChain and LangGraph to automate complex workflows and improve system responsiveness for enterprise clients.
- Architect and maintain high-performance data pipelines within Databricks and Snowflake DB to ensure seamless data ingestion and model training processes.
- Implement and manage CI/CD pipelines to automate the testing and deployment of AI models, reducing time-to-market for current features.
- Collaborate with stakeholders to translate business requirements into technical AI specifications, ensuring alignment with long-term product goals.




- Optimize existing AI infrastructure to enhance computational efficiency and reduce latency, directly impacting the user experience for our global customer base.

Skill Set

- Experience with Agent frameworks, LangChain, LangGraph
- Implement guardrails - ReAct patterns
- Develop memory and tool-use capabilities (MCP), collaborate with prompt engineers
- AIOps, Build CI/CD pipelines
- Strong Python engineering (async, APIs, microservices)
- Experience with Snowflake, Databricks, Lakehouse architectures

(ref:hirist.tech)

📌 ZingMind - AI Developer - Agentic Frameworks (Bengaluru)
🏢 Zingmind Technologies
📍 Bengaluru