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Senior Agentic AI Engineer
Actively Reviewing
XenonStack Moments
Job Description
About XenonStack
XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights.
We Deliver Innovation Through
The Opportunity
We are looking for a hands-on Agentic AI Engineer to develop and integrate AI agents into enterprise workflows. This role is ideal for engineers who have worked with LLMs and AI applications and are excited to explore multi-agent systems, orchestration frameworks, and tool integration.
You will be working closely with senior engineers and product teams, gaining exposure to advanced agentic AI architectures while building high-impact features.
Key Responsibilities
AI Agent Development
Technical Skills
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
XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain 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
The Opportunity
We are looking for a hands-on Agentic AI Engineer to develop and integrate AI agents into enterprise workflows. This role is ideal for engineers who have worked with LLMs and AI applications and are excited to explore multi-agent systems, orchestration frameworks, and tool integration.
You will be working closely with senior engineers and product teams, gaining exposure to advanced agentic AI architectures while building high-impact features.
Key Responsibilities
AI Agent Development
- Build and customize AI agents using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
- Implement context management and tool-using capabilities for AI agents.
- Work with OpenAI, Anthropic, LLaMA, Mistral, or similar LLMs for reasoning and task automation.
- Develop basic RAG pipelines with vector databases and API integrations.
- Work with data engineers, platform teams, and product managers to integrate agents into production workflows.
- Participate in code reviews, testing, and performance optimization.
- Stay updated with emerging agentic AI tools, orchestration techniques, and safety best practices.
- Contribute to internal documentation and playbooks for building AI agents.
Technical Skills
- Bachelor’s degree in Computer Science, AI/ML, or related field.
- 1–3 years of experience in AI/ML, back-end engineering, or LLM-based application development.
- Proficiency in Python; familiarity with LangChain or similar frameworks is a plus.
- Understanding of API integration, vector databases (Pinecone, Weaviate, Milvus), and basic knowledge graphs.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes) preferred.
- 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.
- Continuous Learning & Growth
- Direct mentorship from senior Agentic AI engineers.
- Access to AI/ML certifications and advanced tooling workshops.
- Recognition & Rewards
- Performance-based incentives and recognition for innovative solutions.
- Work Benefits & Well-Being
- Comprehensive medical insurance.
- Additional allowances for project-based work.
- 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.
Required Skills
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