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
📍 Mumbai