Sr. Software Engineer_Agentic System Development

5 - 10 years

5 - 9 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a highly skilled Senior Software Engineer to join our Agentic Platform team. In this role, you will design, build, and optimize intelligent agentic systems powe'red by ADK (Agentic Development Kit) or similar frameworks such as LangChain, LangGraph, or AutoGen. You will develop scalable workflows, integrate with enterprise services, and deliver conversational AI experiences that create real-world impact. This is a hands-on engineering role that requires deep technical expertise, strong ownership, and the ability to collaborate with cross-functional teams.
 
Roles & Responsibilities
  • Agentic System Development: Design, develop, and optimize agentic and conversational AI systems using ADK or similar frameworks.
  • Workflow Implementation: Build and maintain end-to-end workflows that integrate with enterprise services, APIs, and databases to enable intelligent interactions.
  • Conversational Accuracy: Enhance the platform to improve accuracy, adaptability, and responsiveness across diverse use cases
  • Cross-functional Collaboration: Partner with product managers, UX/UI designers, and fellow engineers to deliver AI-driven features.
  • Engineering Excellence: Conduct code reviews, support peer development, and promote best practices for building scalable, maintainable AI applications.
  • Performance & Reliability: Troubleshoot issues, resolve bottlenecks, and optimize system performance in production environments.
Years of Experience
  • 5+ years of professional software engineering experience.
  • 1+ years working with agentic or conversational AI frameworks (e.g., ADK, LangChain, LangGraph, AutoGen).
Skill Set Required
Primary Skills
  • Strong expertise in building and deploying agentic/conversational AI systems, including LLM integration and NLP workflows.
  • Proficiency in Python with hands-on experience in AI/agentic development frameworks.
  • Experience with REST APIs using Spring Boot 3.x and reactive frameworks like WebFlux ( plus, not mandatory ).
  • Solid background with NoSQL databases (Redis, MongoDB, etc).
  • Knowledge of microservices, event-driven architecture, and system design.
  • Familiarity with cloud-native architectures and deployment on GCP (preferred), AWS, or Azure.
  • Experience with model fine-tuning, prompt engineering, and context management in conversational systems.
  • Strong foundation in monitoring and observability tools (Prometheus, Grafana, Micrometer, Splunk, Kibana, etc).
  • Experience with Kubernetes, service mesh (Istio/Linkerd), and container orchestration.
Secondary Skills
  • Exposure to reinforcement learning or other ML techniques for improving agent performance.
  • Experience with tools like Rasa, BotPress, or OpenAI APIs.
  • Prior experience deploying conversational/agentic systems in enterprise or customer-facing environments.
  • Familiarity with Spring WebSocket for real-time, bi-directional communication.
  • Strong communication skills to collaborate effectively across product and engineering teams.
  • Problem-solving mindset with the ability to approach complex challenges creatively.
  • Ability to take ownership while thriving in a collaborative environment.

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