HyperionDev
ABOUT THE ROLE
We are seeking a highly skilled and agile AI Engineer to design, develop, and deploy fast-turnaround AI prototypes. In this role, you will work closely with our product and engineering teams to explore innovative AI solutions that can be tested and validated rapidly. You’ll play a critical role in translating conceptual ideas into tangible MVPs using machine learning, deep learning, and generative AI technologies.
RESPONSIBILITIES
Rapidly build and iterate on AI prototypes using tools such as AI Agents, LLM API calls, Pydantic AI, Langchain, RAGs, and other
Collaborate with cross-functional teams to define AI use cases and data requirements.
Build interactive demos or APIs to showcase the prototypes to internal or external stakeholders.
Stay current with AI/ML advancements and evaluate new tools and libraries that can accelerate development.
Optimize app performance and scalability for proof-of-concept demos.
REQUIREMENTS
Minimum:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
2+ years of experience in machine learning, data science, or AI engineering.
Strong programming skills in Python and experience with relevant libraries (e.g.Pydantic, OpenAI, LangChain).
Hands-on experience with LLMs, foundational models, and cloud-based AI services (e.g., Azure ML, AWS Sagemaker, or Google Vertex AI).
Ability to work in a fast-paced, startup-like environment with a focus on rapid delivery and iteration.
Experience building APIs or lightweight UIs to demonstrate AI models.
Preferred:
Experience with prompt engineering and fine-tuning LLMs.
Knowledge of MLOps or deploying open-source large language models in production environments.
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
Prior experience in building AI products in EdTech, FinTech, or HealthTech is a plus.
Apply via company website ( ) or
job-boards.greenhouse.io