Machine Learning Engineer, Agentic Systems
XenonStack · Mohali, India ·
- Category
- ML ai
- Experience
- 1+ years
XenonStack · Mohali, India ·
XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.
We build enterprise-grade platforms across the agentic stack:
Our mission is to accelerate the world's transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.
We are seeking a Machine Learning Engineer, Agentic Systems 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.
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.
Technical Skills
Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
1–3 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.
1. Continuous Learning & Growth
Access to certifications and advanced AI/ML workshops.
Work on cutting-edge Agentic AI and enterprise automation projects.
2. Recognition & Rewards
Performance-based incentives and special recognition for innovation.
3. Work Benefits & Well-Being
Comprehensive medical insurance.
Additional allowances for project-based roles.
Cab facility for women employees.
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.