Senior Python Backend Engineer | Django​/FastAPI | AI​/ML

Job Description

Must have technical/functional skills outlined below.

Experience:

10+ years.

Bachelor’s or master’s degree in computer science or related field.

• Backend Engineering
  • Strong core Python & backend proficiency.
  • Strong expertise in Python programming and OOP concepts.
  • Hands‑on experience with frameworks like Django, FastAPI, and Flask.
  • Experience designing scalable REST APIs and microservices.
  • Knowledge of asynchronous programming, multithreading, multiprocessing.
  • Strong understanding of design patterns and clean architecture.
  • Experience with authentication/authorization (OAuth2, JWT, SSO).
• Frontend Technologies
  • Strong experience in React or Angular.
  • Proficiency in JavaScript, Type Script, HTML5, CSS
    3.
  • Experience with responsive UI development and component‑based architecture.
  • Knowledge of state management libraries (Redux, Context API, NgRx).
• Database & Data Engineering
  • Experience with relational databases like Oracle, Postgre
    
    SQL, MySQL.
  • Hands‑on experience with No
    
    SQL databases like Mongo
    
    DB or Redis.
  • Expertise in query optimization and database performance tuning.
  • Experience handling large‑scale data pipelines and ETL processes.
• AI / Generative AI Skills
  • Experience integrating AI/ML models into enterprise applications.
  • Hands‑on experience with OpenAI API, Azure OpenAI Service, or similar LLM platforms.
  • Knowledge of prompt engineering, RAG architecture, vector databases, embeddings.
  • Understanding of AI agents, copilots, and workflow automation.
  • Familiarity with ML libraries such as Tensor Flow, PyTorch, and Scikit‑learn.
  • Experience with NLP, chatbot development, and AI orchestration.
• Cloud & Dev Ops
  • Strong experience with cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud.
  • Containerization using Docker and orchestration using Kubernetes.
  • CI/CD pipeline implementation using Jenkins, Git Hub Actions, or Azure Dev Ops.
  • Experience with Infrastructure as Code (Terraform, ARM, Cloud Formation).
• Testing & Quality
  • Unit testing and automation using PyTest, Selenium, Cypress.
  • Experience with TDD/BDD methodologies.
  • Code quality and security best practices.

• Knowledge of AI governance and responsible AI practices.
• Experience with MLOps pipelines.
• Exposure to data analytics and visualization tools.
• Experience with event-driven architectures and Kafka.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $110,000–$120,000 a year.

Bachelor of Computer Science.