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.