ABOUT THE ROLE\u00a0<\/p>\n
\tWe 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\u2019ll play a critical role in translating conceptual ideas into tangible MVPs using machine learning, deep learning, and generative AI technologies.<\/p>\n
RESPONSIBILITIES<\/p>\n
\tRapidly build and iterate on AI prototypes using tools such as AI Agents, LLM API calls, Pydantic AI, Langchain, RAGs, and other\u00a0
\n\tCollaborate with cross-functional teams to define AI use cases and data requirements.
\n\tBuild interactive demos or APIs to showcase the prototypes to internal or external stakeholders.
\n\tStay current with AI\/ML advancements and evaluate new tools and libraries that can accelerate development.
\n\tOptimize app performance and scalability for proof-of-concept demos.<\/p>\n
REQUIREMENTS<\/p>\n
Minimum:<\/p>\n
\tBachelor\u2019s or Master\u2019s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
\n\t2+ years of experience in machine learning, data science, or AI engineering.
\n\tStrong programming skills in Python and experience with relevant libraries (e.g.Pydantic, OpenAI, LangChain).
\n\tHands-on experience with LLMs, foundational models, and cloud-based AI services (e.g., Azure ML, AWS Sagemaker, or Google Vertex AI).
\n\tAbility to work in a fast-paced, startup-like environment with a focus on rapid delivery and iteration.
\n\tExperience building APIs or lightweight UIs to demonstrate AI models.<\/p>\n
Preferred:\u00a0<\/p>\n
\tExperience with prompt engineering and fine-tuning LLMs.
\n\tKnowledge of MLOps or deploying open-source large language models in production environments.
\n\tFamiliarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
\n\tPrior experience in building AI products in EdTech, FinTech, or HealthTech is a plus.<\/p>\n
Apply via company website ( ) or<\/p>\n
job-boards.greenhouse.io<\/p>\n
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