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 Summary
We 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.
Location
Remote (Work from home).
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