Highlights
AI-native procurement technology development, LLM-powered agents, advanced RAG features, GCP/GKE, and microservices architecture.
Description
Job Summary
pJoin JAGGAER as an Associate Agentic Engineer and contribute to the development of AI-native procurement technology. Work on building LLM-powered agents, multi-agent systems, and human-in-the-loop workflows using cutting-edge technologies like Python, ReactJS, and GCP.
Responsibilities
- Develop and deploy LLM-powered AI agents as microservices
- Create RAG-based features using Python and FastAPI
- Build multi-agent systems with researcher, executor, validator patterns
- Integrate ERP, CRM, and supplier systems via OAuth 2.0/JWT
- Develop Human-in-the-loop workflows for edge case handling
Required Skills
- Python (FastAPI preferred)
- ReactJS
- LangGraph or CrewAI
- Pinecone, Vertex AI Vector Search
- Docker + Kubernetes on GCP or Azure
Required Skills Explained
{'html': '
- Python programming, with experience in FastAPI preferred
- Proficiency in ReactJS for building and shipping UI components
- Hands-on experience with LangGraph or CrewAI for multi-agent systems
- Knowledge of RAG (Retrieval-Augmented Generation) and Vector DBs such as Pinecone or Vertex AI Vector Search
- Familiarity with databases including PostgreSQL, MongoDB/Firestore/DynamoDB, Redis; basic exposure to Kafka or Pub/Sub
- Experience with GCP services like GKE, Cloud Run, Vertex AI, Firestore, Pub/Sub and Docker + Kubernetes
- Understanding of OAuth 2.0 / JWT for authentication flows in third-party integrations
'}
Who is this for
pThis role is ideal for tech-savvy individuals who enjoy working with cutting-edge AI technologies and are excited about building innovative solutions. Ideal candidates have hands-on experience with LLMs, multi-agent systems, and cloud infrastructures.
Why This Job is a Good Opportunity
{'html': "ulliOpportunity to work on cutting-edge AI-native procurement technology used by Fortune 500 companiesliLocation at the Hyderabad engineering hub of JAGGAER, known for its innovation and excellence in techliCollaborative environment where you can learn from experienced professionals and contribute to the development of new technologiesliCommitment to employee well-being with comprehensive health benefits and a supportive work cultureliPotential for growth within JAGGAER's rapidly expanding CDAO organization (Chief Data & AI Officer)"}
Interview Preparation Tips
{'html': '
- Review your knowledge of Python, FastAPI, and ReactJS thoroughly
- Familiarize yourself with LangGraph or CrewAI concepts and multi-agent systems
- Understand RAG (Retrieval-Augmented Generation) and Vector DBs like Pinecone or Vertex AI Vector Search
- Study database management and cloud infrastructure services such as GCP, Docker, Kubernetes, and Pub/Sub
- Briefly review OAuth 2.0 / JWT for third-party integrations
- Prepare examples of your relevant projects or open-source contributions to showcase your skills
'}
Career Growth in This Role
{'html': 'pThe role of an Associate Agentic Engineer at JAGGAER offers significant career growth potential. You can expect to develop advanced technical skills, contribute to the development and maintenance of AI-native procurement technology, and work on complex projects that solve real-world business challenges. The opportunity for cross-functional collaboration within a high-performing team provides ample chances to learn from experienced professionals and take on leadership roles as you progress in your career. Additionally, the commitment to innovation and continuous improvement at JAGGAER ensures that there are always new opportunities to expand your skill set and advance in the field of AI and data science.'}
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Skills
Frequently Asked Questions
What is the application deadline?The application deadline is 10th June 2025.
Is the role on-site or remote?This role requires an on-site presence in Hyderabad, India.
What benefits does JAGGAER offer?JAGGAER offers Health, Accidental Insurance, and Term Life as part of its employee benefits package.
