Agentic AI Engineer

XenonStack; Mohali; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Cab facility for women employees.

Performance-based incentives

Job summary

XenonStack is seeking an Agentic AI Engineer to design, develop, and deploy autonomous AI agents that can reason, plan, and act within enterprise workflows. 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.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
• 2–4 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.

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 interfacing with APIs, databases, and third-party services.
• Performance & Safety – Optimize inference performance and reduce costs on NexaStack; implement guardrails, monitoring, and evaluation to ensure safe agent behavior; collaborate with product, platform, and data engineering teams.
• Deployment – Deploy AI agents to cloud, edge, or on-device environments as required.

Skills

Python

LangChain

LangGraph

CrewAI

AutoGen

LLMs

Vectors

Pinecone

Weaviate

Milvus

Knowledge graphs

Distributed systems

Cloud-native

Education

Bachelor’s or Master’s in Computer Science/ AI/ML

Job description

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.

The Opportunity

We are seeking anAgentic AI Engineerto 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 ofLLMs, reasoning systems, orchestration frameworks, and real-world integrationsto deliver measurable business impact.

If you have experience inLLM-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 optimizeautonomous AI agentsusing frameworks such asLangChain, LangGraph, CrewAI, AutoGen, or similar.

  
  

  Implementmulti-agent collaboration workflowswith shared memory, context management, and task orchestration.

  
  


• LLM Integration & Reasoning
  

  Fine-tune and integrateLLMs(OpenAI, Anthropic, LLaMA, Mistral, etc.) for reasoning, planning, and decision-making tasks.

  
  

  Developtool-using agentsthat can interface with APIs, databases, and third-party services.

  
  

  Work withModel Context Protocol (MCP)andA2A (Agent-to-Agent)messaging for scalable orchestration.

  
  

  Implementhybrid reasoning + retrievalpipelines (vector + knowledge graph).

  
  


• Performance & Safety
  

  Optimizeinference performanceand reduce operational costs on platforms likeNexaStack.

  
  

  Implementguardrails, monitoring, and evaluationto ensure safe and reliable agent behavior.

  
  

  Work closely with product, platform, and data engineering teams to integrate agents into enterprise systems.

  
  

  Deploy AI agents tocloud, edge, or on-device environmentsas required.

  
  

Skills & Qualifications

• Technical Skills
  

  Bachelor’s or Master’s inComputer Science, AI/ML, or related field.

  
  

  2–4 years inAI/ML engineering, with direct experience inLLM and agentic AI development.

  
  

  Proficiency inPythonand libraries/frameworks such as LangChain, LangGraph, CrewAI, AutoGen.

  
  

  Experience withRAG pipelines, vector databases (Pinecone, Weaviate, Milvus), andknowledge graphs.

  
  

  Understanding ofdistributed systems, API integration, and cloud-native architectures.

  
  

  Familiarity withobservability and monitoringfor AI systems.

  
  


• Professional Attributes
  

  Strong problem-solving and analytical thinking.

  
  

  Ability to translatebusiness workflows into autonomous AI solutions.

  
  

  Excellent communication and collaboration skills.

  
  

  Passion for exploring emerging AI capabilities and best practices.

  
  

  Access to certifications and advanced AI/ML workshops.

  
  

  Work oncutting-edge Agentic AI and enterprise automation projects.

  
  


• 2. Recognition & Rewards
  

  Performance-based incentives and special recognition for innovation.

  
  

  Additional allowances for project-based roles.

  
  

  Cab facility for women employees.

  
  

Life at XenonStack – Join Us & Make an Impact

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.