Key Responsibilities

- Design and deploy stateful, multi-agent workflows using LangGraph and LangChain.

- Integrate and optimize OpenAI and Google Gemini APIs for task execution, extraction,

and automated reasoning.

- Build scalable web automation pipelines using Playwright, Selenium, and Browser Use

to navigate complex web environments and execute browser tasks autonomously.

- Clean, transform, and analyze structured and unstructured data using Pandas, NumPy,

and complex SQL queries.

- Develop, experiment with, and benchmark AI agents and data scripts inside interactive

Jupyter Notebook environments.

- Apply fundamental Deep Learning principles to enhance data extraction, classification,

and model fine-tuning.

- Manage source code, branch deployments, and team-oriented feature development using

Git and GitHub.

Required Technical Skills

- Core Languages:



Deep expertise in Python and advanced relational database querying

in SQL.

- Agentic AI & Orchestration: Proven experience building tool-using agents via

LangGraph and LangChain.

- LLM Integrations: Production experience working directly with OpenAI (GPT series)

and Gemini APIs.

- Browser Automation: Hands-on experience with BrowserUse, Playwright, and

Selenium for scraping, form automation, and session management.

- Data Science Toolkit: Mastery of Pandas, NumPy, and Jupyter Notebooks for rapid

prototyping and data pipelines.

- Machine Learning: Solid understanding of Deep Learning concepts and architectures.

- Version Control: Standard team workflows utilizing Git and GitHub (pull requests,

merge conflict resolution, CI/CD basic integrations).

📌 AI & Web Automation Engineer (Mumbai)
🏢 Jeena u0026
📍 Mumbai