Role: Python Backend Developer Gen AI
Experience: 4-8 Years
Work Location: Chennai / Bangalore
Job Description
skilled Python Backend Developer with hands-on experience in Generative AI (Gen AI) solutions. The ideal candidate will be responsible for building scalable backend systems, integrating AI/ML models, and contributing to the development of intelligent digital solutions. This role requires a strong foundation in Python, backend architecture, and familiarity with modern AI frameworks and APIs.
Key Responsibilities
- Design, develop, and maintain scalable, high-performance backend services using Python and related frameworks (e.g., FastAPI, Flask, or Django).
- Integrate Gen AI models and APIs (such as OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.) into backend systems.
- Develop APIs and microservices for AI-driven applications, ensuring robustness, security, and performance.
- Collaborate with data scientists, ML engineers, and frontend developers to deploy AI/ML models into production environments.
- Implement prompt engineering, model fine-tuning, and embedding-based retrieval (RAG) for intelligent application use cases.
- Optimize backend architecture for scalability, reliability, and low latency.
- Work with cloud platforms (AWS, Azure, or GCP) for model hosting, containerization, and deployment (Docker, Kubernetes).
- Ensure proper testing, logging, and monitoring of backend services and APIs.
- Stay updated with the latest advancements in AI, LLMs, and backend technologies to bring innovation into project solutions.
Required Skills and Experience
- 3-8 years of experience in backend development with a strong focus on Python.
- Proficiency in one or more backend frameworks such as FastAPI, Flask, or Django.
- Experience working with Generative AI tools, models, or APIs (e.g., OpenAI GPT, LangChain, Hugging Face Transformers).
- Hands-on experience with RESTful APIs or GraphQL service design.
- Strong understanding of data structures, algorithms, and system design.
- Familiarity with LLM application development, prompt design, RAG pipelines, and vector databases (like Pinecone, Weaviate, FAISS, or Milvus).
- Experience with CI/CD pipelines, Git, and containerization (Docker/Kubernetes).
- Exposure to cloud deployment (AWS Lambda, Azure Functions, or GCP Cloud Run).
- Excellent problem-solving, debugging, and communication skills.
Good to Have
- Experience in microservices architecture and event-driven systems.
- Knowledge of MLOps and model lifecycle management.
- Exposure to data engineering tools (Kafka, Airflow, etc.).
- Familiarity with frontend integration or full-stack development (React, Node.js, etc.).
