We are 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
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.