Senior AI/ML Full-Stack Engineer | Python, Golang, FastAPI, Machine Learning

We are looking for a highly technical AI/ML Full-Stack Engineer with a strong foundation in mathematics, machine learning, and software engineering. This is a hands-on development role for someone who not only knows how to use AI/ML technologies and APIs, but also understands the underlying AI/ML concepts and can translate them into production-ready applications. The ideal candidate combines strong AI/ML knowledge and mathematical reasoning with excellent software development skills in Python, Golang, and FastAPI. What You'll Do ✓ Design and develop AI/ML-powered applications and services ✓ Build production-quality backend systems using Python and Golang ✓ Develop scalable APIs and microservices using FastAPI ✓ Integrate machine learning models and AI capabilities into applications and existing platforms ✓ Apply knowledge of machine learning, statistics, probability, linear algebra, optimization, and related mathematical concepts to real-world AI/ML problems ✓ Work with APIs, databases, data pipelines, and external services ✓ Translate AI/ML models and concepts into practical, scalable software solutions ✓ Evaluate model behavior, performance, accuracy, and technical trade-offs ✓ Debug, optimize, and improve AI/ML applications and backend services ✓ Work independently on complex technical problems from architecture through implementation ✓ Quickly learn and implement new AI/ML technologies, frameworks, APIs, and models Required Skills ✓ Strong professional development experience with Python ✓ Hands-on development experience with Golang (Go) ✓ Strong experience developing APIs with FastAPI ✓ Strong understanding of Artificial Intelligence and Machine Learning concepts ✓ Strong mathematical foundation relevant to AI/ML ✓ Understanding of statistics, probability, linear algebra, optimization, and ML algorithms ✓ Experience building, implementing, or integrating machine learning models and AI-powered applications ✓ Strong backend and software engineering fundamentals ✓ Experience with REST APIs, databases, data structures, and distributed services ✓ Ability to understand complex AI/ML concepts and translate them into working software ✓ Strong analytical and problem-solving skills ✓ Ability to write clean, maintainable, production-quality code Strong Plus ✓ LLMs and Generative AI ✓ Deep learning ✓ Model training, inference, fine-tuning, and deployment ✓ PyTorch, TensorFlow, scikit-learn, or similar ML frameworks ✓ RAG and vector databases ✓ AI agents and tool/function calling ✓ Docker and containerized applications ✓ AWS, Azure, or GCP ✓ Microservices and distributed systems ✓ Data engineering and ML pipelines ✓ Model evaluation and optimization Who We're Looking For We are not looking for someone whose AI experience is limited to calling LLM or AI APIs. We need an engineer who understands the AI/ML concepts and mathematics behind the technology, can reason through complex technical problems, and has the engineering skills to build the solution using Python, Golang, FastAPI, databases, and APIs. You should be comfortable discussing an AI/ML problem at a conceptual and mathematical level and then opening your IDE and building the solution. When Applying 1. Describe an AI/ML application you personally built. What did you design and code yourself? Please include the technologies used, your experience with Python, Golang and FastAPI, and how AI/ML concepts or mathematics were applied to the solution.