Agentic AI Engineer

About XenonStack

Data and AI Foundry for Agentic Systems

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
  

future-ready, data-driven organizations

Cloud Native Platforms, Decision-Driven Analytics, and AI-powered solutions

The Opportunity

Agentic AI Engineer

LLMs, reasoning systems, orchestration frameworks, and real-world integrations

LLM-powered applications, multi-agent architectures, and building tool-augmented AI systems

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.
• 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.
  

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

growth-driven, people-first culture

deep work

obsession with adoption

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.
  

accelerate the world’s transition to AI + Human Intelligence