Python Developer

Job Description As a Backend Developer in this role, you will be responsible for designing, developing, and maintaining scalable backend applications using Python, with a focus on Generative AI-driven solutions. Your key responsibilities will include: - Designing, developing, and maintaining scalable backend applications using Python, with a strong emphasis on Generative AI-driven solutions, ensuring high performance, reliability, and maintainability across environments. - Actively contributing to the end-to-end development of GenAI features, including prompt engineering, orchestration of LLM workflows, response evaluation, fine-tuning strategies, and integration of AI outputs into production-grade applications. - Building, optimizing, and managing RESTful APIs using Django and Django REST Framework (DRF) to support AI-powered services, frontend applications, third-party integrations, and internal platforms. - Integrating Large Language Models (LLMs) such as OpenAI, Anthropic, Azure OpenAI, or open-source models (e.g., LLaMA, Mistral) into backend systems, ensuring efficient token usage, latency optimization, and secure API handling. - Developing and managing AI pipelines that include data ingestion, preprocessing, embedding generation, vector storage, retrieval-augmented generation (RAG), and post-processing of AI-generated responses. - Implementing vector databases and semantic search solutions (e.g., FAISS, Pinecone, Weaviate, Chroma) to enable contextual retrieval, document-based Q&A systems, and conversational AI experiences. - Collaborating closely with product managers, data scientists, and frontend engineers to translate business requirements into robust AI-backed APIs and backend services. - Designing and implementing authentication, authorization, and role-based access control mechanisms within Django applications to ensure secure access to AI features and sensitive data. - Ensuring backend systems comply with data privacy, security, and compliance standards, especially when handling user-generated content and AI-processed data. - Optimizing application performance by profiling Python code, improving database queries, caching AI responses where applicable, and managing concurrency for high-throughput API calls. - Building and maintaining asynchronous and background processing workflows (e.g., Celery, Redis, RabbitMQ) for long-running AI tasks such as document processing, model inference, and batch prompt execution. - Writing clean, reusable, and testable code following Python best practices, design patterns, and coding standards, ensuring long-term maintainability of AI and non-AI components. - Developing comprehensive unit tests, integration tests, and API tests to validate Django APIs, GenAI workflows, and edge cases related to AI-generated outputs. - Monitoring, logging, and troubleshooting production issues related to backend services and AI integrations, ensuring minimal downtime and proactive issue resolution. - Participating in model evaluation and iteration, analyzing AI outputs for quality, bias, hallucination risks, and relevance, and continuously improving prompt strategies and system design. - Working with databases such as PostgreSQL/MySQL and NoSQL solutions where required, designing schemas that support AI metadata, embeddings, logs, and conversational history. - Contributing to API documentation (Swagger/OpenAPI) and internal technical documentation to ensure clarity and ease of integration for internal and external consumers. - Supporting deployment and CI/CD processes by collaborating with DevOps teams, ensuring smooth rollout of Django and AI services across staging and production environments. - Staying updated with the latest advancements in Generative AI, Python frameworks, Django ecosystem, and backend best practices, and proactively suggesting improvements or new approaches. - Assisting in mentoring junior developers by providing guidance on Python, Django REST APIs, and GenAI concepts, promoting best practices across the team. - Taking ownership of assigned modules or services, ensuring timely delivery, high quality, and alignment with overall system architecture and business goals. As a Backend Developer in this role, you will be responsible for designing, developing, and maintaining scalable backend applications using Python, with a focus on Generative AI-driven solutions. Your key responsibilities will include: - Designing, developing, and maintaining scalable backend applications using Python, with a strong emphasis on Generative AI-driven solutions, ensuring high performance, reliability, and maintainability across environments. - Actively contributing to the end-to-end development of GenAI features, including prompt engineering, orchestration of LLM workflows, response evaluation, fine-tuning strategies, and integration of AI outputs into production-grade applications. - Building, optimizing, and man