Technical Project Coordinator

About Us

Deccan AI is a model training and eval startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world, e.g. Google Deepmind, Snowflake, and many more. We are backed by Prosus Ventures, and our India delivery office is in Hyderabad. Most of our roles are on-site i.e. Bay Area / Hyderabad.

What it is like to work @ Deccan

To be honest, our workplace is not for the faint-hearted. We work hard, We work fast (many of our clients require same day turnarounds for their complex data needs). We like those who take ownership, roll up their sleeves and do. We like those who thrive in ambiguity and who can operate without titles / hierarchies.But what you will find: tremendous learning, tremendous growth, and a very motivated set of colleagues who are also fun to be around.

Position Overview:

The Technical Project Coordinator will support the execution of technical projects by ensuring smooth coordination among team members, handling technical documentation, and providing assistance in the development and implementation of AI-based solutions.

Key Responsibilities:

• Project Coordination: Coordinate the execution of technical projects, ensuring that all tasks and activities are aligned with project timelines.
• Technical Support: Apply technical proficiency in AI/ML stacks (Python, C++, Java, JavaScript, LangChain, LangGraph) to support the project team.
• AI Agent/LLM Development: Assist in the development of AI agents or LLMs, providing support and contributing to the implementation of these technologies in project deliverables.
• Documentation & SOPs: Contribute to the creation and maintenance of documentation and SOPs, ensuring technical details are well-documented for future reference.
• Team Collaboration: Work closely with project teams to ensure that tasks are assigned and completed in a timely and efficient manner.
• Required Skills & Qualifications:
• Strong proficiency in programming languages (Python, C++, Java, JavaScript, LangChain, LangGraph).
• Experience in building AI agents or LLMs.
• Strong documentation and SOP writing skills.
• Ability to manage multiple tasks in a collaborative team environment.
• Knowledge of the latest trends in AI, agents, and benchmarking methods.