Back-End Development & IntegrationAPI Development: Build and maintain scalable, high-speed REST JSON APIs using FASTAPI with a focus on performance and robust data validation via pydantic models.Concurrency & Real-Time: Implement efficient concurrent operations using Python's asyncio framework. Manage real-time data communication using socket connections or appropriate messaging patterns.Data Tier Management: Work across multiple database technologies including traditional SQL databases, flexible Document DBs (e.g., MongoDB, DynamoDB), and specialized Vector DBs for similarity search and AI applications.Messaging & Events: Implement and manage event-driven patterns using scalable messaging systems (e.g., AWS SQS, Kafka) to decouple services and handle asynchronous workflows.

Cloud & DevOpsAWS Serverless: Develop and deploy applications utilizing AWS serverless technologies (e.g., AWS Lambda, API Gateway, SQS, SNS) to optimize for cost and scalability.CI/CD & Docker: Maintain and improve the CI/CD pipelines for automated testing and deployment. Utilize Docker for local development consistency and containerized deployments.Agile Practice: Participate fully in Agile Processes (Scrum/Kanban) and utilize GIT for collaborative version control.

AI/ML IntegrationFramework Integration: Implement services that integrate directly with cutting-edge AI frameworks (e.g., PyTorch, Hugging Face) to deliver intelligent features and capabilities within the application.

Required QualificationsEducation: Engineering degree (B.E./B.Tech or M.E./M.Tech) in Computer Science from a top-tier Indian university (e.g., IITs, NITs, BITS Pilani).Experience: 2-3 years of professional experience in back-end development using Python.Analytical Skill: Demonstrated very strong ability in system analysis, design, and technical requirements definition.Core Technologies: Deep practical experience with FASTAPI or a similar modern Python framework.Cloud Proficiency: Hands-on experience developing and deploying applications in AWS serverless environments.Architectural Knowledge: Experience implementing microservices, distributed computing, and messaging systems.Data and Validation: Proficiency with pydantic for data validation and strong experience with at least two of the following database types: SQL, Document DB, or Vector DB.DevOps: Solid understanding of CI/CD practices, Docker, GIT, and Agile Processes.Concurrency: Experience with asynchronous programming using asyncio and real-time communication techniques (socket).

Highly Desired SkillsDirect experience with advanced AI/ML model deployment and inference serving.Familiarity with other Python libraries for data processing (e.g., Pandas, NumPy).Experience optimizing database queries and schema design for high-scale applications.

Join Us at Sparsa AIIf you are passionate about building transformative products at the intersection of AI and industrial operations, we invite you to shape the future with us. This is your opportunity to learn and execute in a fast-growing company that is redefining how the real economy works. At Sparsa AI, you'll work alongside an exceptional team, solve real-world problems, and leave a lasting impact on global industries.Let’s build the future of Industrial AI-Agents—together. If you have the chops, let’s connect!