Artificial Intelligence Intern

Company Description:

Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo is a technology company focused on empowering Indian travelers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travelers in making smarter travel decisions by leveraging artificial intelligence, machine learning and data science-led innovations on ixigo’s OTA platforms, including websites and mobile applications.

We're looking for highly motivated AI Interns with a strong foundation in AI/ML, passionate about applying agentic AI to solve business and enterprise-focused challenges.

This is an exciting opportunity to work on real-world B2B processes, collaborate with experienced engineers and data scientists, and gain hands-on experience in building intelligent, scalable solutions.

Candidates from premier institutes such as IITs, NITs, DTU, NSIT, and IIITs are preferred.

Key Responsibilities:

• 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.