
Backend Python Developer
3 weeks ago
Role Overview :
You will work closely with cross-functional teams including Data Scientists, ML Engineers, and Frontend Developers to deliver end-to-end features, APIs, and tools that leverage Generative AI models in Responsibilities :
- Integrate and support Generative AI models (e.g., GPT, DALLE, Stable Diffusion, Llama, Claude) through APIs or direct implementation.
- Work with Data Scientists and ML Engineers to operationalize AI models, manage prompts, inference pipelines, and embeddings.
- Build and manage microservices and data pipelines for real-time and batch processing.
- Optimize application performance and scalability, ensuring system reliability and responsiveness.
- Implement CI/CD pipelines, testing suites, and containerization (Docker, Kubernetes).
- Write clean, maintainable, and well-documented code following best practices.
- Participate in code reviews, architecture discussions, and sprint planning.
- Collaborate with Product and Design teams to translate business requirements into technical Technical Skills :
- Experience working with Generative AI models via APIs (e.g., OpenAI, Hugging Face Transformers, Replicate, etc.).
- Understanding of LLMs, prompt engineering basics, and fine-tuning workflows is a plus.
- Experience with cloud platforms (AWS, Azure, or GCP) for hosting and scaling backend and AI services.
- Familiarity with Docker, Kubernetes, and other container orchestration tools.
- Experience with PostgreSQL, MongoDB, or similar databases.
- Familiarity with asynchronous programming and message queues (e.g., Celery, RabbitMQ, Kafka).
- Knowledge of CI/CD tools, version control (Git), and Agile development to Have :
- Experience integrating with LLM orchestration frameworks.
- Knowledge of MLOps practices and deploying AI/ML models to production.
- Understanding of security best practices and compliance for backend systems and AI :
- Strong problem-solving ability and excellent communication skills.
- Ability to work independently in a fast-paced environment and manage multiple priorities
(ref:hirist.tech)-
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