Job Overview
| Feature | Details |
|---|---|
| Job Title | Sr. Agentic AI Software Engineer |
| Company | Persistent Systems |
| Location | Bengaluru / Hyderabad, India |
| Experience Required | 5–10 Years |
| Employment Type | Full-Time |
| Skills Required | Java, Python, Google ADK, MCP |
| Desirable Skills | LangChain, LangGraph, Vector Databases, RAG, Kubernetes, Docker |
| Industry | Information Technology Services |
| Work Model | Hybrid |
| Open Positions | 1 |
Persistent Hiring Sr. Agentic AI Software Engineer in Bengaluru & Hyderabad
Persistent Systems is hiring experienced AI and software engineering professionals for the position of Sr. Agentic AI Software Engineer. This role offers an exciting opportunity to work on next-generation AI agents, large language model (LLM) applications, Google Agent Development Kit (Google ADK), Model Context Protocol (MCP), cloud-native platforms, and enterprise-scale software systems.
Candidates with strong expertise in Java, Python, microservices architecture, cloud technologies, and AI-driven application development are encouraged to apply.
About Persistent
Persistent Systems is a globally recognized AI-led Digital Engineering and Enterprise Modernization company helping organizations accelerate innovation and digital transformation.
The company serves leading enterprises worldwide, including Fortune 50 organizations, global banking institutions, healthcare innovators, and technology leaders. With more than 27,500 professionals across 18 countries, Persistent continues to be one of the fastest-growing technology services organizations globally.
Key Responsibilities
Backend Development
- Develop scalable microservices using Java 17+ and Spring Boot
- Design and implement REST APIs and gRPC services
- Build high-performance backend applications
- Optimize application performance and scalability
Python & AI Engineering
- Develop Python services using FastAPI
- Build AI-powered workflows and automation systems
- Implement structured outputs and intelligent processing pipelines
- Create resilient systems with retries and fault tolerance
Agentic AI Development
- Design and orchestrate AI agents using Google ADK
- Build multi-step agent workflows
- Implement memory and session management
- Integrate tool-calling capabilities
- Enable autonomous decision-making systems
MCP Integration
- Build Model Context Protocol (MCP) integrations
- Connect AI agents with enterprise tools and services
- Expose internal systems as MCP servers
- Secure communication between agents and business systems
Generative AI & RAG
- Develop Retrieval-Augmented Generation (RAG) solutions
- Implement embeddings and vector database integrations
- Build prompt engineering frameworks
- Evaluate LLM performance and reliability
- Develop secure AI-powered enterprise applications
Cloud & DevOps
- Containerize applications using Docker
- Deploy services on Kubernetes clusters
- Build CI/CD pipelines
- Implement monitoring and observability solutions
- Maintain production-grade cloud infrastructure
Required Skills
Candidates should have strong expertise in:
Programming Languages
- Java 17+
- Python
- SQL
Frameworks & Technologies
- Spring Boot
- FastAPI
- REST APIs
- gRPC
- Microservices Architecture
AI & LLM Technologies
- Google Agent Development Kit (Google ADK)
- Agentic AI Systems
- Large Language Models (LLMs)
- Prompt Engineering
- Context Engineering
- Tool Calling
- Function Calling
- Structured Outputs
AI Frameworks
- LangChain
- LangGraph
Data & RAG Technologies
- Vector Databases
- Embeddings
- Retrieval-Augmented Generation (RAG)
Security Technologies
- OAuth2
- OpenID Connect (OIDC)
- JWT Authentication
- RBAC
- ABAC
Cloud & DevOps
- Docker
- Kubernetes
- CI/CD Pipelines
- GitHub Actions
- Jenkins
- Harness
Educational Qualification
Required
- Bachelor's Degree in Computer Science
- Information Technology
- Engineering (B.E. / B.Tech)
- Related Technical Discipline
Preferred
- M.Tech
- MCA
- Equivalent Master's Degree
Preferred Candidate Profile
The ideal candidate should possess:
- 5+ years of software engineering experience
- Strong Java backend development expertise
- Strong Python development skills
- Experience building AI agents and workflows
- Knowledge of Google ADK
- Understanding of MCP architecture
- Experience with cloud-native systems
- Knowledge of Kubernetes and Docker
- Excellent problem-solving abilities
- Strong communication and collaboration skills
Benefits
Career Growth
- Quarterly growth opportunities
- Leadership development programs
- Company-sponsored certifications
- Higher education assistance
Health & Insurance
- Annual health checkups
- Group term life insurance
- Personal accident insurance
- Mediclaim hospitalization coverage
Family Benefits
Coverage available for:
- Employee
- Spouse
- Two Children
- Parents
Work-Life Balance
- Flexible working hours
- Hybrid work model
- Employee engagement programs
- Long service awards
Why This Job Stands Out
This position sits at the intersection of:
- Artificial Intelligence
- Agentic AI
- Large Language Models
- Enterprise Software Engineering
- Cloud Computing
- Microservices Architecture
Professionals looking to build cutting-edge AI applications while maintaining strong software engineering practices will find this opportunity highly valuable.
Who Should Apply?
This role is ideal for:
- Senior Software Engineers
- AI Engineers
- Machine Learning Engineers
- Backend Developers
- Python Developers
- Java Developers
- Cloud Engineers
- Platform Engineers
- Solution Architects
- Generative AI Developers
How to Apply
Interested candidates can apply through the Persistent Careers Portal by submitting their updated resume highlighting experience in Java, Python, Google ADK, MCP, Agentic AI, Kubernetes, and cloud-native technologies.
Final Thoughts
Persistent's Sr. Agentic AI Software Engineer position offers a unique opportunity to work on enterprise-scale AI agent systems powered by Google ADK, MCP integrations, and advanced LLM technologies. As organizations increasingly adopt autonomous AI systems, professionals with expertise in agentic AI, cloud-native engineering, and enterprise software development will be in strong demand.
For experienced engineers seeking to shape the future of enterprise AI applications, this role represents an excellent career opportunity.
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