BrainBox AI utilizes self-adapted artificial intelligence technology to proactively optimize the energy consumption of one of the largest climate change contributors: Buildings 

Our AI engine supports a self-operating building that requires no human intervention. Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously optimizes existing Heating, Ventilation, and Air Conditioning (HVAC) control systems for maximum impact on energy consumption. 

We are seeking an AI Data Scientist with strong software development skills and hands-on experience with generative AI (genAI) technology, including Large Language Models (LLMs), agentic workflows, and/or Retrieval Augmented Generation (RAG). The hired person will contribute to the ongoing design and development of genAI applications and tools that will integrate the Company core technology and products. Main responsibilities will include performing R&D activity, integrating internal and external genAI tools into the Company’s product stack, generate production code.

What you will do:

• Develop and Optimize genAI Solutions: Design, implement, and deploy genAI-based applications ( e.g. agentic workflows and tools, RAG pipelines).
• Tools Integration: Assess and integrate existing tools from AWS Bedrock and other genAI platforms.
• Experimentation: Conduct research and prototyping of new AI features and workflows, staying current with advancements in the generative AI space.
• Performance Assessment and Improvement: Benchmark, assess and improve the performance of LLM-based systems, optimizing for speed, accuracy, memory, and cost.
• Testing and Maintenance: Ensure reliability, accuracy, and safety of AI applications through rigorous testing and iterative improvements.
• Deployment: Support the internal GenAI Software Development team in the integration and deployment in production of new solutions.
• Collaboration: Work closely with the Product and Software Development teams to translate initiatives into a product.
• Documentation: Write clear and comprehensive technical documentation for processes, models, and codebases

What you will need to be successful:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 3+ years of relevant experience in a similar role 
• Proven experience working with genAI technology, including LLMs, RAG pipelines, and/or and agentic workflows.
• Strong programming skills in Python.
• Familiarity with APIs and tools for LLM interaction (e.g., OpenAI API, LangChain, LangGraph, LlamaIndex, Hugging Face or similar).
• Experience with cloud platforms and services for AI (e.g., AWS, GCP, or Azure).

Nice-to-Have:

• Experience with generative AI platforms and libraries (e.g., Langchain, LangGraph, LlamaIndex, Hugging Face).
• Familiarity with multimodal models.
• Experience building conversational AI systems, chatbots, or other interactive AI applications.
• Experience with fine-tuning large language models.
• Knowledge of software engineering best practices, including CI/CD, version control, and agile methodologies

Why work at BrainBox AI 

• Cool Environment | Collaborative Culture | Growth Opportunities |
• Make a significant impact on the world - join the fight against climate change 
• Be a part of a revolutionary technology movement
• Collaborate with innovative, out-of-the-(Brain) box thinkers in a fast-paced environment
• Work with amazing people who truly have a passion in the work they do 

At BrainBox AI, we are committed to providing an inclusive work environment. We value the diversity of our team and we strongly believe in the power of people. We foster a safe space for our employees to thrive regardless of race, ethnicity, gender, gender identity, sexual orientation, age, and religion.