Agentic Ai (FullStack)

Required Skills & Experience

68 years of experience in backend or data engineering.

Strong hands-on experience building scalable distributed systems.

Proficiency in Java (preferred) or other backend languages (Python, Scala, Go).

Solid fundamentals in: o Data engineering (batch & streaming pipelines) o Distributed systems and microservices o APIs, messaging, and event-driven architectures

Practical exposure to LLMs and AI-driven systems.

Experience across end-to-end SDLC, including CI/CD and production operations.

Strong problem-solving and system design skills. Good to Have

Exposure to Agentic AI concepts or frameworks (LangChain, LangGraph, LlamaIndex, AutoGen, etc.).

Experience with public cloud platforms (AWS, GCP, Azure).

Knowledge of vector databases, embeddings, and retrieval pipelines.

Experience with Kubernetes and cloud-native stacks.

Prior work on data platforms, AI platforms, or internal PaaS.