AI Enablement - Full Stack Developer
Barclays is seeking a Full Stack Developer to join their IB Analytics team in Gurugram to build production-grade AI and Generative AI applications. The role focuses on designing and deploying scalable backend services in Python, building intuitive frontend interfaces, and integrating these with enterprise systems on Azure. You will collaborate closely with data scientists and quantitative researchers to operationalize machine learning models. The position requires strong backend experience and familiarity with modern cloud infrastructure and CI/CD practices.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Barclays is seeking a Full Stack Developer to join their IB Analytics team in Gurugram to build production-grade AI and Generative AI applications. The role focuses on designing and deploying scalable backend services in Python, building intuitive frontend interfaces, and integrating these with enterprise systems on Azure. You will collaborate closely with data scientists and quantitative researchers to operationalize machine learning models. The position requires strong backend experience and familiarity with modern cloud infrastructure and CI/CD practices.
TAL's take
Solid tier-2 global bank role focusing on high-impact AI enablement within the investment banking division.
Well-defined responsibilities focusing on full-stack ML/GenAI application development, though the JD is somewhat broad in its inclusion of general analytics model building.
Salaries at Barclays
21.3 LPA average
Based on 128 Grapevine salary entries for Barclays.
Engineering
0 - 2 years | BA4
13 LPA average
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Engineering
2 - 4 years | Ba4
15 LPA average
Range: 13 - 17 LPA
Engineering
4 - 6 years | AVP
21 LPA average
Range: 14 - 35 LPA
Engineering
6 - 8 years | AVP
17 LPA average
Range: 15 - 23 LPA
Must haves
- Design and develop full stack applications embedding ML and GenAI capabilities.
- Translate AI/ML models into scalable backend services and APIs.
- Build responsive frontend interfaces for AI-enabled products.
- Develop and consume RESTful / async APIs.
- Implement cloud-native deployments on Azure.
- Collaborate with data scientists and quants to productionize models.
Tools and skills
Nice to have: langchain, llamaindex, docker, kubernetes, azure devops, jenkins, github actions.
About the company
Global financial services institution with established investment banking operations.
Posts mentioning Barclays
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