As a Platform Engineer at Docket AI, you will play a pivotal role in developing and maintaining our backend systems. You will be responsible for designing, building, and optimising the infrastructure that powers our platform. We are looking for a self-driven, independent individual with a strong foundation in Python, Kubernetes, SQL, and LLMs and a basic understanding of AWS, deployment, and CI/CD pipelines. Key Responsibilities Backend Development: Design, develop, test, and maintain backend services and APIs to support our platform's functionality and scalability. Ownership: Take full ownership of your projects, from concept to deployment. This includes collaborating with cross-functional teams to define requirements, timelines, and deliverables. Technology Expertise: Leverage your expertise in Python, SQL, and LLMs to build efficient, high-quality code that meets business objectives. Infrastructure: Contribute to the architecture and optimisation of our backend infrastructure hosted on AWS. CI/CD Pipeline: Assist in setting up and maintaining CI/CD pipelines to ensure seamless and automated code deployment. Problem Solving: Tackle complex technical challenges and find creative solutions to ensure the reliability and performance of our backend systems. Qualifications Strong proficiency in Python programming Experience with the FastAPI framework for building APIs Proficiency in using Pydantic for data validation and settings management Experience with containerization technologies, particularly Docker Familiarity with SQL databases, especially PostgreSQL (SQLAlchemy) Knowledge of NoSQL databases, specifically Redis Understanding of RESTful API design and implementation Experience with asynchronous programming in Python (asyncio) Familiarity with microservices architecture Knowledge of version control systems, preferably Git Understanding of cloud computing concepts Technical Skills Python frameworks: FastAPI, SQLAlchemy Databases: PostgreSQL, Redis Containerization: Docker Version Control: Git API Development: RESTful APIs Asynchronous Programming: asyncio Cloud Platforms: AWS, GCP, or Azure Message Queuing: RabbitMQ or Apache Kafka Testing: pytest or similar Python testing frameworks Nice-to-Have Experience with RAG-based implementations Built and scaled real-time voice agents. Experience in managing Kafka Previous experience working in a startup environment. What We Offer An exciting opportunity to make a significant impact in an early-stage startup. Competitive salary and equity options. A collaborative and innovative work environment. Opportunities for professional growth and development. Flexible work arrangements.