Position
Agentic AI Engineer Intern
Autonomous Systems & Workflow Automation Developer
Generative AI and LLM Integration Engineer
Company
Xiarch Bharat Pvt Ltd
CERT-In Empanelled Cybersecurity & Enterprise Solutions Provider
Advanced AI-Powered Security Operations Leader
Location
Haryana, India
Postal Code: 122018
Regional Hub Serving Pan-India Enterprise Operations
Job type
Full-time Internship Program
Immersive Technical Development Role
Job mode
Onsite Engineering Deployment
Collaborative Team Environment
Job requisition id
Internal Tracking Identifier: XB-AI-2026-09
Years of experience
0 to 3 Years of Technical Experience
Freshers and Self-Driven Explorers Welcome
Company description
Xiarch Bharat is a highly respected, CERT-In empanelled cybersecurity services firm boasting over two decades of robust industry experience and technological leadership.
The organization specializes in delivering comprehensive, round-the-clock Security Operations Center (SOC) monitoring, advanced Vulnerability Assessment and Penetration Testing (VAPT), and rigorous security audits.
Core competencies extend into Governance, Risk, and Compliance (GRC), Digital Personal Data Protection (DPDP) compliance frameworks, ISO auditing standards, and cutting-edge Zero Trust networking implementations utilizing pfSense and FortiGate architectures.
Serving a massive and diverse portfolio of over 4,000 enterprise clients across India, the company maintains an unyielding commitment to safeguarding critical digital infrastructures.
In response to rapidly evolving threat landscapes and technological advancements, Xiarch Bharat is aggressively scaling its internal infrastructure and expanding its product capabilities by integrating state-of-the-art AI-powered security solutions.
The company culture thrives on agility, rapid innovation, and a relentless drive to automate complex operational workflows, allowing technical teams to operate with maximum efficiency and precision.
Leadership actively champions mentorship, encouraging young engineers and interns to take ownership of high-impact projects from their very first week on the job.
By bridging the gap between traditional cybersecurity rigor and modern generative artificial intelligence, Xiarch Bharat provides an unparalleled environment for aspiring AI engineers to build production-grade intelligent systems.
Profile overview
This position represents a pure, unadulterated AI engineering and automation role designed for sharp, self-driven freshers and interns who possess a genuine passion for building with artificial intelligence.
Candidates should be individuals who inherently prefer writing an intelligent script or automation pipeline that handles a repetitive task one hundred times rather than executing manual labor even once.
The selected candidate will work directly alongside the company founder and elite technical teams to identify repetitive, knowledge-intensive operational bottlenecks and transform them into robust, reliable, and scalable AI-assisted workflows.
Core responsibilities involve the end-to-end design, architectural planning, rigorous testing, integration, and seamless deployment of autonomous AI agents and complex automation pipelines into live production environments.
Day-to-day operations center on creating multi-agent collaborative systems capable of independent reasoning, task decomposition, tool invocation, and error handling across diverse business domains.
Engineers will design sophisticated Retrieval-Augmented Generation (RAG) knowledge assistants capable of synthesizing insights from unstructured documents, internal corporate wikis, and complex structured databases.
The role demands active engagement with cutting-edge LLM APIs, embedding models, vector search indexing, hybrid retrieval mechanisms, and advanced orchestration frameworks like LangGraph, LangChain, and CrewAI.
Collaborating cross-functionally, the intern will help architect bridges between standalone AI agents and foundational enterprise infrastructure via secure REST APIs, webhooks, and custom database connectors.
The position emphasizes continuous improvement, requiring proactive debugging, optimization for token efficiency and latency, and meticulous documentation of all deployed AI workflows.
Success in this role is measured by the tangible elimination of manual overhead, the stability of deployed automation pipelines, and the independent initiative demonstrated in solving complex technical challenges.
Qualifications
Demonstrated, genuine interest in Generative AI, Agentic AI, and workflow automation, supported by personal projects, rigorous experimentation, or prior tinkering with ChatGPT, Claude, LangChain, or automation platforms like n8n and Make.com.
Solid foundational coding abilities, with primary proficiency in Python, enabling the candidate to independently write clean scripts, consume external APIs, manipulate data structures, and debug runtime exceptions efficiently.
Clear conceptual understanding of Large Language Models, prompt engineering best practices, API integrations, and the foundational architecture underlying Retrieval-Augmented Generation (RAG) pipelines.
Exceptional logical and structured thinking capabilities, allowing the candidate to dissect messy, ambiguous manual business processes into clean, sequential, and automatable programmatic steps.
High enthusiasm for building fully functional AI agents that perform autonomous actions, execute tool calls, and solve real-world problems rather than simply generating static text responses.
Strong personal ownership, intellectual curiosity, and self-drive, characterized by the ability to independently research documentation, troubleshoot edge cases, and take initiative without constant supervision.
Excellent written communication skills in English, essential for authoring technical documentation, refining system prompts, and communicating architectural decisions clearly with team members.
Familiarity with modern Agentic AI stacks, including LLM providers like OpenAI, Claude, and Gemini, as well as orchestration frameworks such as LangGraph, CrewAI, and LangChain.
Practical exposure to vector database technologies and search paradigms, including Qdrant, FAISS, pgvector, vector embeddings, and hybrid retrieval strategies.
Understanding of software engineering best practices, version control workflows utilizing Git and GitHub, containerization basics with Docker, and Linux environments.
Experience or familiarity with backend frameworks like FastAPI, database systems like PostgreSQL, and low-code/no-code automation tools such as Zapier, Make.com, and n8n.
Prior exposure to Model Context Protocol (MCP), function calling mechanics, structured output validation, agent memory management, and human-in-the-loop validation loops.
Additional info
Interns will receive direct, hands-on mentorship from senior leadership and technical founders, gaining invaluable exposure to high-growth startup engineering practices and enterprise cybersecurity workflows.
The program offers immediate responsibility, empowering participants to ship real, production-ready AI solutions that directly impact internal company operations and client service delivery from week one.
Candidates will build a comprehensive, high-value GitHub portfolio showcasing real-world agentic workflows, multi-agent orchestrations, and advanced RAG deployments.
The work culture encourages continuous experimentation, where calculated trial-and-error with emerging AI frameworks and cutting-edge tools is viewed as a vital component of professional growth.
Xiarch Bharat provides access to modern developer tooling, enterprise cloud services, and proprietary internal datasets to accelerate the learning curve and foster innovation.
Successful completion of the internship opens up exceptional pathways for long-term career advancement, potential full-time engineering conversions, and expanded leadership responsibilities within the company's growing AI division.
Applicants are encouraged to highlight any personal AI repositories, hackathon projects, or automated workflows they have independently built when showcasing their technical capabilities.
The role demands adaptability and a voracious appetite for learning, as the generative AI ecosystem evolves at a breakneck pace and introduces new paradigms weekly.
Collaboration is deeply valued, and team members frequently engage in brainstorming sessions to conceptualize novel automation use cases across cybersecurity, auditing, and GRC operations.
The position requires strict adherence to data privacy, security compliance, and ethical AI development standards, aligning with Xiarch Bharat's core mission of trusted enterprise security.
Please click here to apply.

