JK Technosoft - Technical Lead - Generative AI

Job Summary :

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain / LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI Responsibilities :

• Design and implement robust, scalable back-end systems for GenAI agent-based platforms.
• Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.
• Develop and maintain services using Python (FastAPI / Django / Flask), with best practices in modularity and performance.
• Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.
• Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.
• Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.
• Implement inter-service communication using gRPC and REST.
• Contribute to architectural discussions, especially around distributed systems, data flow, and fault Skills & Qualifications :
• Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.
• Strong track record on platforms like LeetCode or in real-world algorithmic / system problem-solving.
• Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).
• Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.
• 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.
• Proven experience with system architecture, distributed systems, and microservices.
• Strong familiarity with Any Cloud infrastructure and deployment practices.
• Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

(ref : hirist.tech)