Hypersonix.ai is disrupting the e-commerce space with AI, ML, and advanced decision-making capabilities that drive real-time business insights. Built from the ground up with modern technology, our platform simplifies the consumption of data for customers across multiple industry verticals.Job SummaryWe are looking for a highly skilled Senior Software Engineer with deep expertise in Python backend development to join our engineering team. You will design, build, and operate the scalable, high-performance services that power our AI-driven platform — including the data and inference pipelines behind our real-time insights. You’ll partner closely with Product, Data Science / ML, and Frontend Engineering to ship reliable, secure, and observable software.This role suits someone who enjoys solving complex distributed-systems problems, writes clean and well-tested code, and wants to shape the architecture of a data- and AI-intensive platform.Roles & Responsibilities• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+).• Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability.• Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage.• Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation.• Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science.• Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage.• Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization.• Implement security best practices: authentication, authorization, secrets management, and data protection.• Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards.• Mentor junior engineers and contribute to a strong engineering culture.• Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.Required Qualifications• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).• 5–7 years of professional software development experience.• Strong proficiency in Python, including type hints and at least one modern web/API framework (FastAPI and/or Flask).• Solid experience designing and building RESTful APIs, web services, and microservices.• Strong grasp of object-oriented and/or functional design, data structures, and software design principles.• Hands-on experience with version control (Git) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or similar).• Experience with both relational (e.g., PostgreSQL/MySQL) and NoSQL databases, plus caching (e.g., Redis).• Good understanding of distributed systems, concurrency, and scalable application architecture.• Strong debugging, problem-solving, and analytical skills.• Excellent communication and collaboration abilities; comfortable working in a remote, distributed team.Desired Qualifications• Experience with cloud platforms, ideally AWS (e.g., ECS/EKS, Lambda, S3, RDS).• Familiarity with containerization and orchestration (Docker, Kubernetes).• Experience with asynchronous programming in Python (asyncio) and event-driven architectures.• Experience integrating LLMs or ML models into production (e.g., model/inference APIs, RAG, vector databases such as pgvector, Pinecone, or Weaviate).• Experience with cloud data warehouses such as Snowflake (e.g., data modeling, performance tuning, and building data pipelines or analytics workloads).• Familiarity with infrastructure-as-code (Terraform, AWS CDK) and observability tooling (OpenTelemetry, Datadog, Prometheus/Grafana).• Understanding of authentication and authorization protocols (OAuth 2.0, JWT, SSO) and security best practices.• Basic knowledge of JavaScript, HTML5, and CSS3.• Experience in Agile/Scrum environments.• Exposure to data-intensive or AI/ML platforms.LocationRemote (Work from home).

Senior Software Engineer (India)