Overview

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights.

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 OpenAI, Anthropic, LLaMA, Mistral, or similar LLMs for reasoning and task automation.
• Develop basic RAG pipelines with vector databases and API integrations.
• Work with data engineers, platform teams, and product managers to integrate agents into production workflows.
• Participate in code reviews, testing, and performance optimization.
• Stay updated with emerging agentic AI tools, orchestration techniques, and safety best practices.
• Contribute to internal documentation and playbooks for building AI agents.
• Bachelor’s degree in Computer Science, AI/ML, or 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 frameworks is a plus.
• Understanding of API integration, vector databases (Pinecone, Weaviate, Milvus), and basic knowledge graphs.

Qualifications

• Curious and quick to learn new AI tools and frameworks.
• Problem-solving mindset with good debugging skills.
• Collaborative and open to feedback from senior engineers.
• Continuous Learning & Growth
• Direct mentorship from senior Agentic AI engineers.
• Access to AI/ML certifications and advanced tooling workshops.
• Recognition & Rewards
• Performance-based incentives and recognition for innovative solutions.
• Work Benefits & Well-Being
• Comprehensive medical insurance.
• Additional allowances for project-based work.
• Cab facility for women employees.
• Obsessed with Adoption – Designing every solution to make AI accessible and accelerate enterprise adoption.
• Obsessed with Simplicity – Transforming complexity into seamless, intuitive, and measurable outcomes.