You might be a good fit if you:

• Have a passion for leading industry-changing solutions with significant social, economic, and environmental impact

• Desire to play a founding role and reap the benefits as part of a growth-stage startup with significant upside

• Enjoy building not only the technology but also high-performing teams and companies

• Are committed to continuous learning at the intersection of several industries

What you'll do:

• Work alongside other Software Developers to develop full-stack software solutions built for robustness, scalability, and performance using state-of-the-art software development practices

• Design and develop software algorithms

• Conduct research and experimentation to improve the performance of software systems

• Perform detailed analysis, design, code development, software integration and testing

• Analyze complex functions, procedures and problems to deliver creative and effective solutions

• Prototype, evaluate, and deploy agentic AI capabilities, including tool integrations, workflow orchestration, and retrieval-augmented experiences to automate complex user workflows

• Stay up to date with the latest advancements in AI techniques and advanced algorithms

• Participate in design and code reviews

What you'll need to succeed:

• Bachelor/Graduate degree in Computer Science or Computer/Electrical Engineering or related technical fields

• Extensive experience in Python programming

• Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)

• Experience with software design and development in a test-driven environment

• Being a team player with excellent interpersonal and communication skills

• Organized, focused and persistent with the ability to work to the plan and meet delivery dates

• Being an excellent problem solver and quick learner

• (Preferred) Knowledge of robotics solutions and robotic manipulators

• (Preferred) Experience integrating applications with large language models (LLMs), AI APIs, or agentic frameworks to build intelligent software features.

• (Preferred) Familiarity with modern AI development concepts such as retrieval-augmented generation (RAG), tool/function calling, vector databases, or model evaluation.