Machine Learning Engineer, Agentic Systems

XenonStack Moments; San Martin Cp3 Hualtaco I; Presencial; PEN 204.000 - 305.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Certifications

Recognition program

Descripción de la vacante

XenonStack is seeking a Machine Learning Engineer, Agentic Systems to design, develop, and deploy autonomous AI agents that reason, plan, and act within enterprise workflows. You will work at the intersection of LLM-powered applications and multi-agent architectures to deliver measurable business impact.

Join a team building tool-augmented AI systems, integrating APIs, databases, and cloud-native deployments across enterprise environments.

Formación

• 1–3 years in AI/ML engineering, with direct experience in LLM and agentic AI development.

Responsabilidades

• Design, build, and optimize autonomous AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.

Conocimientos

Python

LangChain

LangGraph

CrewAI

AutoGen

APIs integration

RAG pipelines

Knowledge graphs

Distributed systems

Educación

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

Herramientas

Pinecone

Weaviate

Milvus

NexaStack

Cloud-native architectures

Descripción del empleo

About XenonStack

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.

About XenonStack

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

• Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
• ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
• NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
• MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.

Our mission is to accelerate the world's transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.

The Opportunity

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 LLM-powered applications, multi-agent architectures, and building tool-augmented AI systems to deliver measurable business impact.

If you have experience in LLMs, reasoning systems, orchestration frameworks, and real-world integrations, 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.
• 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.

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.