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.
