Agentic AI Engineer

Job Description About XenonStack XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights. We Deliver Innovation Through - Akira AI Building Agentic Systems for AI Agents - XenonStack Vision AI Vision AI Platform - NexaStack AI Inference AI Infrastructure for Agentic Systems Our mission is to help enterprises transform into future-ready, data-driven organizations through Cloud Native Platforms, Decision-Driven Analytics, and AI-powered solutions. The Opportunity We are seeking an Agentic AI Engineer to design, develop, and deploy intelligent AI agents that can reason, plan, and act autonomously within enterprise workflows. In this role, you will work at the intersection of LLMs, reasoning systems, orchestration frameworks, and real-world integrations to deliver measurable business impact. If you have experience in LLM-powered applications, multi-agent architectures, and building tool-augmented AI systems, this is your chance to shape the future of enterprise automation. Key Responsibilities Agentic System Development - Design, build, and optimize autonomous AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. - Implement multi-agent collaboration workflows with shared memory, context management, and task orchestration. LLM Integration & Reasoning - Fine-tune and integrate LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.) for reasoning, planning, and decision-making tasks. - Develop tool-using agents that can interface with APIs, databases, and third-party services. System Architecture & Orchestration - Work with Model Context Protocol (MCP) and A2A (Agent-to-Agent) messaging for scalable orchestration. - Implement hybrid reasoning + retrieval pipelines (vector + knowledge graph). Performance & Safety - Optimize inference performance and reduce operational costs on platforms like NexaStack. - Implement guardrails, monitoring, and evaluation to ensure safe and reliable agent behavior. Collaboration & Deployment - Work closely with product, platform, and data engineering teams to integrate agents into enterprise systems. - Deploy AI agents to cloud, edge, or on-device environments as required. Skills & Qualifications Technical Skills - Bachelor's or Master's in Computer Science, AI/ML, or related field. - 24 years in AI/ML engineering, with direct experience in LLM and agentic AI development. - Proficiency in Python and libraries/frameworks such as LangChain, LangGraph, CrewAI, AutoGen. - Experience with RAG pipelines, vector databases (Pinecone, Weaviate, Milvus), and knowledge graphs. - Understanding of distributed systems, API integration, and cloud-native architectures. - Familiarity with observability and monitoring for AI systems. Professional Attributes - Strong problem-solving and analytical thinking. - Ability to translate business workflows into autonomous AI solutions. - Excellent communication and collaboration skills. - Passion for exploring emerging AI capabilities and best practices. Career Growth & Benefits - Continuous Learning & Growth - Access to certifications and advanced AI/ML workshops. - Work on cutting-edge Agentic AI and enterprise automation projects. - Recognition & Rewards - Performance-based incentives and special recognition for innovation. - Work Benefits & Well-Being - Comprehensive medical insurance. - Additional allowances for project-based roles. - Cab facility for women employees. Life at XenonStack Join Us & Make an Impact At XenonStack, we cultivate a growth-driven, people-first culture built on bold leadership, collaboration, and innovation. We value deep work, an obsession with adoption, and a commitment to delivering solutions that are both impactful and elegantly simple. Our Product Philosophy - 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. Join us in our mission to accelerate the world's transition to AI + Human Intelligence, and be part of shaping how enterprises work, think, and grow.