AES - DE - Generative AI Application Developers at Zensar
Listed by DevShelfHub
About the Role
Agentic AI and generative AI application development are reshaping how enterprises build intelligent software—and Zensar is hiring engineers to lead this transformation. Zensar is hiring Generative AI Application Developers in Pune for its Agentic AI team, focused on production-grade engineering, cloud-native systems, and collaboration with architecture and AI/ML partners.
This role emphasizes building RAG pipelines, agentic workflows, and evaluation frameworks for enterprise GenAI systems.
What you'll do
- The Generative AI Application Developer will build production-grade GenAI applications and cloud-native systems.
- Part of the Agentic AI team developing generative AI applications
- Build cloud-native microservices and design REST and gRPC APIs
- Implement event-driven architecture using Kafka
- Apply Domain-Driven Design concepts
- Build RAG pipelines and create agentic workflows with function calling, tool use, and agent loops
- Develop coding agents, review agents, or test-generation agents
- Implement evaluation frameworks and guardrails
- Set up observability for GenAI systems
- Integrate with enterprise systems and cloud services
- Use Git, GitHub Actions, FluxCD, and GitOps workflows
- Work with Docker, Kubernetes, and Helm
- Implement data pipelines for ingestion and indexing
What we're looking for
- BE Computer
- 4-8 years of experience with strong ownership and ability to ship production-grade code
- Python, REST API design, gRPC API design, async programming, FastAPI
- Cloud-native microservices, Kafka, Domain-Driven Design (DDD)
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers hands-on agentic AI development within a global digital transformation company.
- Develop generative AI applications as part of the Agentic AI team
- Build cloud-native microservices with REST and gRPC APIs
- Implement event-driven architecture using Kafka
- Build RAG pipelines and agentic workflows with function calling and tool use
- Develop coding agents, review agents, or test-generation agents
- Implement evaluation frameworks and guardrails for GenAI systems
- Set up observability for GenAI systems with LangFuse and OpenTelemetry
- Work with Docker, Kubernetes, Helm, and GitOps workflows
- Collaborate closely with Solution Architect and AI/ML Engineer
- Stay current with the fast-moving GenAI ecosystem
About Zensar
- Industry
- Technology
- Company Size
- 500+
- Website
- zensar.com
Skip the queue
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–8 years
- Location
- Pune, Maharashtra, India
- Work Mode
- Hybrid
- Category
- AI / ML
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