Systems Integration Specialist

As a Backend Developer (FastAPI), you will design, build, deploy, and maintain scalable backend systems and APIs that power AI-driven applications and data-intensive platforms. You will develop high-performance services using FastAPI and Python to support AI/ML models, LLM-powered features, and real-time data workflows in production environments.You will work closely with AI/ML engineers, data scientists, frontend developers, and DevOps teams to implement robust backend architectures that integrate AI models, vector databases, third-party APIs, and enterprise systems.This is a hands-on engineering role where you will build RESTful APIs, manage asynchronous workflows, implement authentication and authorization mechanisms, and optimize system performance. You will ensure backend reliability, scalability, and security across development and production environments.Additionally, you will monitor API performance, optimize database queries, improve model-serving latency, and enhance system architecture through continuous improvements and operational best practices.What you'll bring5+ years of hands-on backend development experience using Python.Strong experience building production-grade APIs using FastAPI (and similar frameworks such as Flask/Django).Proven experience working on AI/ML or LLM-based application backends.Experience integrating AI models, ML services, or inference endpoints into production systems.Strong understanding of scalable backend architecture and distributed systems.Experience working in engineering-focused roles (not purely research-based).Degree in Computer Science, Engineering, Data Science, or related field — or equivalent practical experience.Skill RequirementsStrong hands-on experience with Python and FastAPI for building RESTful and asynchronous APIsExperience designing and consuming APIs (REST, Webhooks, third-party integrations)Strong understanding of async programming, concurrency, and background task processingExperience integrating AI/ML models, LLM APIs (OpenAI, Claude, Llama, etc.), or custom model endpointsPractical knowledge of RAG architectures and vector databases (Pinecone, Weaviate, FAISS, etc.) is a plusExperience working with relational databases (PostgreSQL/MySQL) and ORMs (SQLAlchemy, etc.)Knowledge of NoSQL databases (MongoDB, Redis) is an advantageExperience implementing authentication and authorization (JWT, OAuth2, RBAC)Experience with Docker and containerized deploymentsFamiliarity with Kubernetes and cloud platforms (AWS/Azure/GCP)Experience with CI/CD pipelines and automated deploymentsStrong debugging and performance optimization skillsExperience writing unit and integration tests (Pytest preferred)Familiarity with logging, monitoring, and observability toolsUnderstanding of API security, rate limiting, and data protection best practicesStrong knowledge of Git and collaborative development workflowsTypical Backend Developer Roles and ResponsibilitiesDesign and implement scalable backend APIs using FastAPI.Integrate AI/ML models and LLM services into backend workflows.Build data processing pipelines and asynchronous background tasks.Design and optimize database schemas and queries.Implement secure authentication and authorization mechanisms.Develop and maintain API documentation (OpenAPI/Swagger).Write clean, maintainable, and well-tested code.Perform performance tuning and latency optimization for AI model serving.Collaborate with frontend and AI teams to implement end-to-end features.Deploy services using Docker and cloud platforms.Monitor backend services and troubleshoot production issues.Maintain version control, documentation, and deployment automation.Translate business requirements into scalable technical solutionsJ-18808-Ljbffr