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XenonStack in India invites a hands-on Agentic AI Engineer to develop and integrate AI agents into enterprise workflows, working with LLMs and AI applications.
You will build AI agents using LangChain, LangGraph, CrewAI, or AutoGen, implement context management and tool usage, and collaborate with data engineers, platform teams, and product managers to deploy to production.
Join a growth-driven team and contribute to cutting-edge agentic architectures with mentorship from senior engineers.
XenonStack is the fastest-growingData and AI Foundry for Agentic Systems, enabling people and organizations to gainreal-time, intelligent business insights.
We deliver innovation through:
Akira AI – Building Agentic Systems for AI Agents
NexaStack AI – Inference AI Infrastructure for Agentic Systems
Our mission is to help enterprises transform intofuture-ready, data-driven organizationsthroughCloud Native Platforms, Decision-Driven Analytics, and AI-powered solutions.
We are looking for ahands-on Agentic AI Engineerto develop and integrate AI agents into enterprise workflows. This role is ideal for engineers who have worked withLLMs and AI applicationsand are excited to exploremulti-agent systems, orchestration frameworks, and tool integration.
You will be working closely withsenior engineers and product teams, gaining exposure to advanced agentic AI architectures while building high-impact features.
AI Agent Development
Build and customizeAI agentsusing frameworks likeLangChain, LangGraph, CrewAI, or AutoGen.
Implementcontext management and tool-using capabilitiesfor AI agents.
LLM Integration
Work withOpenAI, Anthropic, LLaMA, Mistral, or similar LLMs for reasoning and task automation.
Developbasic RAG pipelineswith vector databases and API integrations.
Work withdata engineers, platform teams, and product managersto integrate agents into production workflows.
Participate incode reviews, testing, and performance optimization.
Stay updated withemerging agentic AI tools, orchestration techniques, and safety best practices.
Contribute tointernal documentation and playbooksfor building AI agents.
Technical Skills
Bachelor’s degree in Computer Science, AI/ML, or related field.
1–3 years of experience inAI/ML, back-end engineering, or LLM-based application development.
Proficiency inPython; familiarity withLangChain or similar frameworksis a plus.
Understanding ofAPI integration, vector databases (Pinecone, Weaviate, Milvus), and basic knowledge graphs.
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes) preferred.
Professional Attributes
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.
Direct mentorship from seniorAgentic AI engineers.
Access to AI/ML certifications and advanced tooling workshops.
2. Recognition & Rewards
Performance-based incentives and recognition for innovative solutions.
Additional allowances for project-based work.
Cab facility for women employees.
At XenonStack, we cultivate agrowth-driven, people-first culturebuilt on bold leadership, collaboration, and innovation. We valuedeep work, anobsession 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 toaccelerate the world’s transition to AI + Human Intelligence, and be part of shaping how enterprises work, think, and grow.