We're looking for an individual with Prior experience building RESTful APIs. Experience with at least one of the backend API frameworks (preferably FastAPI) Hands-on experience with at least one modern ML/AI framework (PyTorch, TensorFlow) Experience integrating LLMs into applications (OpenAI, Anthropic, or open-source) Strong foundation in deep learning concepts and model training workflows Database expertise: schema design, query optimization, both SQL and NoSQL Experience with vector databases (Pinecone, Weaviate, Chroma) for RAG applications Mathematical aptitude: comfortable with statistics, linear algebra, and algorithmic thinking Your daily work would include Working on product features end-to-end (write backend logic, write API, connect APIs in the front end, and build a basic functional UI) Working with RESTful APIs, SQL, and NoSQL databases Training, fine-tuning, and deploying deep learning models for production use Building robust LLM integration pipelines with proper error handling and fallback mechanisms Implementing MLOps practices: model versioning, A/B testing, monitoring, and automated retraining Working on multiple projects during the tenure across multiple domains Note: The working hours are flexible. We are a small team. Most of the work will happen asynchronously. Culture-wise, we are looking for people who are excited to learn new things, think creatively, are capable of figuring things out on their own (most of the time), and have a "getting things done" kind of attitude. Show more Show less

We're looking for an individual with Prior experience building RESTful APIs. Experience with at least one of the backend API frameworks (preferably FastAPI) Hands-on experience with at least one modern ML/AI framework (PyTorch, TensorFlow) Experience integrating LLMs into applications (OpenAI, Anthropic, or open-source) Strong foundation in deep learning concepts and model training workflows Database expertise: schema design, query optimization, both SQL and NoSQL Experience with vector databases (Pinecone, Weaviate, Chroma) for RAG applications Mathematical aptitude: comfortable with statistics, linear algebra, and algorithmic thinking Your daily work would include Working on product features end-to-end (write backend logic, write API, connect APIs in the front end, and build a basic functional UI) Working with RESTful APIs, SQL, and NoSQL databases Training, fine-tuning, and deploying deep learning models for production use Building robust LLM integration pipelines with proper error handling and fallback mechanisms Implementing MLOps practices: model versioning, A/B testing, monitoring, and automated retraining Working on multiple projects during the tenure across multiple domains Note: The working hours are flexible. We are a small team. Most of the work will happen asynchronously. Culture-wise, we are looking for people who are excited to learn new things, think creatively, are capable of figuring things out on their own (most of the time), and have a "getting things done" kind of attitude. Show more Show less