Sr Software Developer - Python and AI

Senior Python Developer (AI-Enabled)

The Senior Python Developer is responsible for designing, developing, and maintaining high-quality, scalable, and reliable applications. This role requires deep expertise in Python, strong problem-solving skills, and the ability to lead technical initiatives while collaborating across teams to deliver robust solutions aligned with business goals. The role also involves building and integrating AI/ML-driven features into backend systems and services.

Key Responsibilities

•  Design, develop, test, and maintain Python-based applications and services
• Architect scalable backend systems and APIs using modern frameworks
• Write clean, efficient, and reusable code following best practices
• Lead code reviews and mentor junior developers
• Optimize application performance, scalability, and security
• Collaborate with product managers, architects, data scientists, and DevOps teams
• Integrate third-party APIs, cloud services, and AI platforms
• Develop, integrate, and deploy AI/ML-powered features such as recommendations, predictions, document processing, or automation workflows
• Build backend services that consume ML models via APIs or embedded inference pipelines
• Work with data pipelines for model input, output, monitoring, and retraining support
• Troubleshoot production issues and provide long-term fixes
• Contribute to system architecture and technical decision-making
• Maintain technical documentation and coding standards

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 6+ years of professional experience in Python development
• Strong understanding of Python internals, OOP, and design patterns
• Hands-on experience with frameworks such as:
• Django / Flask / FastAPI
• Experience building RESTful APIs and microservices
• Strong knowledge of SQL and NoSQL databases (PostgreSQL, SQL Server, MongoDB)
• Experience with asynchronous programming (async/await, Celery, RabbitMQ)
• Familiarity with version control systems (Git, GitHub)
• Experience with unit testing frameworks (pytest, unittest)
• Strong debugging and performance tuning skills

AI / Machine Learning Skills (Required or Strongly Preferred)

• Experience integrating AI/ML models into production Python applications
• Hands-on experience with ML/AI libraries such as:
• NumPy, Pandas, Scikit-learn
• TensorFlow / PyTorch (model usage or deployment focus)
• Experience consuming LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.)
• Knowledge of prompt engineering, embeddings, and vector databases (FAISS, Pinecone, Weaviate, pgvector)
• Experience building AI-driven APIs for NLP, classification, anomaly detection, or automation use cases
• Understanding of model lifecycle concepts: inference, versioning, monitoring, and performance evaluation
• Familiarity with MLOps concepts and tools for deploying and managing ML models

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Exposure to CI/CD pipelines, GitHub Actions
• Experience with message queues and event-driven architecture
• Familiarity with security best practices (OAuth, JWT, encryption)
• Experience in Agile/Scrum environments
• Experience in form.io
• Experience deploying AI/ML workloads on cloud platforms (managed AI services, GPU workloads, or serverless inference)

Key Competencies

• Strong analytical and problem-solving skills
• Ownership and accountability
• Ability to design scalable and maintainable systems
• Excellent communication and collaboration skills
• Mentorship and technical leadership
• Continuous learning mindset, especially in AI and emerging technologies