Senior Agentic AI Engineer

Responsibilities

• Build and customize AI agents using frameworks like LangChain, LangGraph, CrewAI, or AutoGen
• Implement context management and tool-using capabilities for AI agents
• Work with LLMs such as OpenAI, Anthropic, LLaMA, or Mistral for reasoning and task automation
• Develop RAG pipelines utilizing vector databases and API integrations
• Collaborate with data engineers and product managers to integrate agents into production workflows
• Participate in code reviews, testing, and performance optimization

Requirements

• Bachelor's degree in Computer Science, AI/ML, or a related field
• 1–3 years of experience in AI/ML, back-end engineering, or LLM-based application development
• Proficiency in Python
• Familiarity with LangChain or similar orchestration frameworks
• Understanding of vector databases (e.g., Pinecone, Weaviate, Milvus) and API integration
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes) is preferred

Preferred Qualifications

• Knowledge of knowledge graphs
• Experience with multi-agent system architectures
• Strong problem-solving and debugging skills

Benefits

• Direct mentorship from senior Agentic AI engineers
• Access to AI/ML certifications and advanced tooling workshops
• Performance-based incentives and recognition
• Comprehensive medical insurance
• Additional allowances for project-based work
• Cab facility for women employees

About the Company

XenonStack is a fast-growing Data and AI Foundry for Agentic Systems. We enable organizations to gain real-time, intelligent business insights through our specialized platforms, including Akira AI, XenonStack Vision AI, and NexaStack AI. Our mission is to help enterprises transform into future-ready, data-driven organizations through cloud-native platforms and AI-powered solutions.