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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