Python Gen AI Developer

Job Description

You will be responsible for integrating modern GenAI APIs and building scalable AI-powered backend systems.

Position Overview:

As a Mid-Senior Python Backend Developer, you will be responsible for implementing GenAI solutions using state-of-the-art APIs and tools like OpenAI GPT, Claude, and custom AI models. You will play a key role in building high-performance backend systems, collaborating with cross-functional teams, and incorporating Large Language Models (LLMs) and RAG into real-world applications.

Responsibilities:

• Lead the design and implementation of GenAI APIs for integrating LLMs, RAG, and other cutting-edge AI technologies into various products.
• Build and optimize backend systems using Django or FastAPI to support scalable AI-driven applications.
• Collaborate with Product Management and Data Science teams to define product requirements and develop AI-powered solutions.
• Work with tools like OpenAI GPT, Claude, and custom-made AI models to deploy intelligent, interactive systems.
• Debug, troubleshoot, and optimize code for performance and efficiency.
• Ensure seamless integration of backend services with mobile and frontend applications.
• Optimize and extend existing backend architecture as the project evolves.
• Mentor and guide junior developers on the team, promoting best practices in AI and backend development.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of hands-on experience in Python backend development using Django or FastAPI.
• Strong expertise in Generative AI, LLMs, and RAG implementations.
• Hands-on experience with OpenAI, GPT models, Claude, and other modern GenAI tools.
• Familiarity with building and deploying custom AI models.
• Proficient in databases like MongoDB, MySQL, or PostgreSQL.
• Experience with version control tools like Git, and working with CI/CD pipelines.
• Strong knowledge of AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience with designing, developing, and integrating RESTful APIs.
• Strong communication, problem-solving, and teamwork skills.

Must-Haves:

• Proficiency in Python and experience with backend frameworks like Django or FastAPI.
• Hands-on experience in GenAI technologies, particularly LLMs, RAG, and AI model integration.
• Expertise in tools like OpenAI GPT, Claude, and custom AI models.
• Deep understanding of the Software Development Life Cycle (SDLC) and design patterns.

Nice to Have:

• Experience with other programming languages like JavaScript, Go, or Rust.
• Familiarity with IoT, Raspberry Pi, or Arduino for integrating edge AI solutions.
• Knowledge of MLOps, deploying AI models in production, and optimizing AI performance.
• Experience with containerization tools like Docker and orchestration systems like Kubernetes.

This position offers an exciting opportunity to work with cutting-edge AI technologies, including LLMs and RAG, and contribute to innovative projects at Klizo Solutions.