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Technical Lead- GenAI
Technical Lead- GenAI
JK Technosoft Ltd's logo

Technical Lead- GenAI

Akanksh Gupta's profile picture
Posted by Akanksh Gupta
6 - 10 yrs
₹30L - ₹42L / yr
Bengaluru (Bangalore), Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
Generative AI
GenAI
skill iconPython
skill iconFlask
FastAPI
skill iconData Analytics
ETL
Team leadership

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 focus.


Key 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 tolerance.


Required 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.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About JK Technosoft Ltd

Founded :
1995
Type :
Services
Size :
1000-5000
Stage :
Profitable

About

JK Tech is a specialized Gen AI and Data consulting firm, leveraging deep domain expertise in Retail, CPG, and Insurance to create tailored solutions for our clients. Our innovative Gen AI accelerators, branded as JIVA, address critical challenges like Accuracy, Security, and Scalability, enabling enterprises to accelerate their journey from POC to production. We combine structured and unstructured data with advanced AI technologies, helping clients unlock actionable insights and drive meaningful outcomes. As a strategic partner of Google Cloud and other industry leaders, JK Tech delivers cutting-edge solutions that empower businesses to stay ahead in a competitive market. At JK Tech, we are dedicated to transforming data into a powerful asset for growth and success. Connect with us to explore how we can help your organization thrive.
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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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