Sr. Fullstack AI Architect

5 days ago

Hyderabad, Telangana, India Jaggaer Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Overview:

JAGGAER is investing in next-generation AI and Agentic AI to revolutionize enterprise procurement. We're seeking a Senior Full Stack Developer who thrives in early-stage product exploration and hands-on AI research and prototyping.

In this role, you'll work on rapid experimentation—translating ideas into working demos using LLMs, orchestration frameworks like LangGraph or CrewAI, and robust Java-based backends with scalable data architectures. You'll collaborate across AI, product, and architecture teams to inform the future platform roadmap.

Principal Responsibilities:

  • Rapidly prototype AI-driven use cases using Java-based services, frontend components, and integration with AI/ML tools.
  • Build POCs leveraging agentic AI frameworks (LangGraph, AutoGen, CrewAI) and test novel interactions with LLMs and external APIs.
  • Work with SQL/NoSQL databases to model knowledge graphs, embeddings, and AI-generated outputs at scale.
  • Develop intuitive UIs using React or Angular to test agent-based user workflows.
  • Partner with architects and ML engineers to evaluate AI frameworks and identify production candidates.
  • Translate architectural patterns into real-world test cases that help validate platform assumptions.

Position Requirements:

  • 12+ years of full-stack development experience
  • Deep expertise in Java (Spring Boot, Micronaut, or Quarkus) for building scalable services and APIs.
  • Strong experience in database design and performance optimization (PostgreSQL, MySQL, MongoDB, Redis, or Cassandra).
  • Frontend proficiency in React, Angular, or Vue with UX sensitivity.
  • Cloud-native development experience (AWS/Azure/GCP).
  • Hands-on exposure to LLMs, vector search, and embedding frameworks (e.g., Pinecone, Weaviate).
  • Experience with orchestration frameworks like LangGraph, AutoGen, LangChain, or CrewAI.
  • High standards for performance, testing, security, and maintainability.
  • Degree in Computer Science or related field from a top-tier institution; Master's a plus.
  • Passion for AI, emerging technologies, and agile prototyping in a collaborative environment.

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