About Xiarch Bharat Infrastructure & Security Operations Xiarch Bharat is a CERT-In empanelled cybersecurity services company with over 20 years of experience. We specialize in 24×7 SOC monitoring, Vulnerability Assessment & Penetration Testing (VAPT), GRC, DPDP compliance, ISO audits, and Zero Trust networking solutions (pfSense/FortiGate). We serve 4000+ clients across India and are rapidly scaling our infrastructure and product capabilities with AI-powered security solutions.

About The Role We’re a fast-growing technology company building AI-powered automations and Agentic AI systems to run leaner and ship faster. We’re looking for sharp, self-driven freshers and interns who genuinely enjoy building with AI — people who would rather create an intelligent system that handles a task 100 times than do it manually once.

This is a pure AI engineering and automation role . You will work directly with the founder and technical teams to identify repetitive and knowledge-intensive processes and turn them into reliable, AI-assisted workflows.

Your job will be to design, build, integrate, test, and deploy AI agents and automation pipelines . You will start building and shipping real AI systems from week one.

What You’ll Do

- Design and build AI agents and multi-agent workflows for internal business automation.
- Build agentic workflows using LangGraph, LangChain, CrewAI, or similar frameworks.
- Integrate LLM APIs such as OpenAI and Claude into production workflows.
- Implement tool calling, function calling, structured outputs, agent routing, and workflow orchestration.




- Build RAG-based knowledge assistants using documents, internal knowledge bases, and structured data.
- Work with embeddings, vector databases, hybrid search, and retrieval pipelines.
- Connect agents with internal systems using REST APIs, webhooks, databases, and external tools.
- Build AI-powered research, document processing, report-generation, data extraction, and decision-support workflows.
- Develop Python services and scripts to support AI agents and automation pipelines.
- Work with structured and unstructured data including PDFs, spreadsheets, emails, reports, logs, and databases.
- Implement agent memory, state management, human-in-the-loop workflows, and error handling.
- Test, debug, document, and continuously improve AI workflows for reliability and scalability.
- Work with the team to identify new opportunities where AI agents can replace repetitive manual processes.
- Deploy and maintain AI applications and automation pipelines.

Tools You’ll Work With You’ll get hands-on experience with a modern Agentic AI stack:
- LLM APIs: OpenAI, Claude, Gemini
- Agent Frameworks: LangGraph, LangChain, CrewAI
- Automation Platforms: n8n, Make.com, Zapier
- AI Technologies: RAG, Embeddings, Vector Search, Tool Calling, Function Calling, MCP




- Languages & Frameworks: Python, FastAPI
- Data & Integrations: REST APIs, Webhooks, PostgreSQL, Vector Databases
- Vector Databases: Qdrant, FAISS, pgvector
- Development Tools: GitHub, Docker, Linux
- Productivity & Knowledge: Google Workspace, Notion

What We’re Looking For
- Genuine interest in Generative AI, Agentic AI, and automation — you’ve already experimented with ChatGPT/Claude, AI agents, n8n/Make/Zapier, or similar tools on your own.
- Basic coding ability, preferably Python — enough to write scripts, call APIs, process data, and debug issues.
- Understanding of LLMs, prompting, APIs, and basic RAG concepts is preferred.
- Logical, structured thinking — you can break a messy manual process into clear, automatable steps.
- Interest in building AI agents that actually perform tasks, rather than only generating text.
- Robust ownership and curiosity — you figure things out, ask good questions, and take initiative without waiting to be told what to do.
- Comfortable reading technical documentation and learning new AI tools quickly.
- Good written English for documentation, prompts, and technical communication.

Nice to Have
- Experience building a personal AI agent or RAG project.
- Experience with LangGraph, LangChain, CrewAI, or similar frameworks.
- Experience with Qdrant, FAISS, Pinecone, or pgvector.
- Experience with MCP or tool-calling systems.
- Familiarity with FastAPI, Docker, Git, or cloud deployment.
- GitHub portfolio demonstrating AI/automation projects.

📌 Agentic AI Engineer Intern (Haryana)
🏢 Xiarch Bharat
📍 Haryana