AI Intern

Ixigo

0 - 1 years

0 Lacs

gurugram

Posted:4 hours ago| Platform:

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Skills Required

css bot automation anywhere artificial intelligence jquery sql deep learning java automation asp.net html uipath mysql c# python rpa asp.net mvc natural language processing microsoft azure machine learning javascript sql server pandas node.js .net

Work Mode

Work from Office

Job Type

Internship

Job Description

Agentic AI automation: Design LLM-powered, agentic workflows that plan multi-step tasks, call tools/APIs/DBs, use memory, and self-check results with human-in-the-loop review where needed.
Browser & RPA automation: Build headless browser bots (e.g., Playwright / Browser-use / Selenium) to extract/submit data across enterprise web apps, handle auth/session management, pagination, retries, and failure recovery while respecting security and ToS.
Data pipelines: Build reliable ingestion and transformation pipelines (Python/SQL, dbt/Pandas), schedule with Prefect/Airflow/Dagster, and deliver clean datasets to downstream automations and dashboards.
Workflow orchestration: Compose multi-stage automations (agents + pipelines + RPA), manage state, queues, and idempotency; implement fallbacks and circuit breakers.
Quality & guardrails: Add validation, schema checks, structured output parsing, prompt/tool guards, and test coverage (unit/integration/e2e) to ensure accuracy and safety.
Observability & cost control: Instrument logging, tracing, and metrics (throughput, success rate, latency, cost per task); tune prompts, caching, and batching for performance and spend.
Continuous learning: Track advances in Agentic AI, RPA, workflow tools, and LLM ops; propose pragmatic upgrades.

Qualifications

Strong Python and SQL; solid data structures/algorithms.
Exposure to at least one of:
- Browser Automation, RPA: Playwright, Browser-use, Selenium etc
- Orchestration: Prefect, Airflow or Dagster
- Microservices: Fastapi, REST/GraphQL
- LLM Tooling: LLM orchestration, function/tool calling, retrieval
Comfort with Git, Docker, and writing clean, testable code.

What You ll Gain

Hands-on experience shipping agentic AI systems that automate real revenue-impacting workflows.
End-to-end ownership: from process discovery pipeline agent/RPA build deployment monitoring.
Mentorship from engineers and data scientists delivering scalable automation in enterprise environments.

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