Python Developer - Generative AI

Job Title : Python Developer

Experience : 2 - 4 Years (Minimum 2 years in Python development)

Location : Delhi NCR (Preferred)

Work Mode : Hybrid (2 days from office, 3 days WFH)

Working Hours : 10 : 00 AM - 7 : 00 Summary :

Responsibilities

We are looking for a passionate and skilled Python Developer with hands-on experience in Generative AI, Agentic AI, and Database Management (MySQL). The candidate should have strong programming skills, problem-solving abilities, and the capability to work in a fast-paced environment to build, optimize, and maintain AI-powered solutions and backend Responsibilities :

• Design, develop, and maintain scalable Python applications.
• Work on Generative AI and Agentic AI models, integrating them into business solutions.
• Build, fine-tune, and deploy AI-driven applications for automation, decision-making, and
  
  

intelligent workflows.

• Collaborate with cross-functional teams (Data Scientists, ML Engineers, Product Managers) to
  
  

understand requirements and deliver solutions.

• Write optimized queries and manage relational databases using MySQL.
• Develop RESTful APIs and integrate with front-end and third-party services.
• Ensure clean, reusable, and well-documented code following best practices.
• Debug, troubleshoot, and optimize application performance.
• Stay updated with the latest AI/ML frameworks, Python libraries, and industry Skills & Qualifications :
• 2 - 4 years of professional experience in Python development.
• Strong understanding of Generative AI, LLMs, and Agentic AI frameworks.
• Hands-on experience with AI/ML libraries such as LangChain, Hugging Face, OpenAI APIs, or similar.
• Proficiency in MySQL (queries, stored procedures, optimization).
• Good understanding of API development and integration.
• Knowledge of version control tools (Git/GitHub).
• Familiarity with cloud platforms (AWS/Azure/GCP) is a plus.
• Strong problem-solving skills and the ability to work independently and in to Have (Preferred Skills) :
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Exposure to MLOps, Docker, and CI/CD pipelines.
• Knowledge of data structures, algorithms, and software design patterns.
• Previous experience working on AI/ML projects in production.
  
  

(ref:hirist.tech)