Generative AI Python Engineer (GenAI Python Engineer) | Nineleaps | Bangalore / Hyderabad, India

Nineleaps; Bengaluru, Hyderabad; Hybrid; INR 2,500,000 - 4,200,000; Full time

Job summary

Nineleaps is seeking a Generative AI Python Engineer to design and build AI-powered applications leveraging LLMs, RAG, and Agentic AI on Google Cloud Platform. This hybrid, full-time role offers hands-on work with Python, REST APIs, vector databases, and modern AI frameworks.

The ideal candidate has 3-4 years of Python software development, strong backend skills, experience with Flask, SQL, and AI model integration, and a passion for Generative AI and scalable systems.

Qualifications

• 3-4 years of professional software development experience with Python.
• Strong expertise in Python programming and backend application development.
• Hands-on experience building RESTful APIs using Flask or similar frameworks.
• Solid understanding of SQL and database design principles.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
• Strong knowledge of Large Language Models (LLMs) and AI model integration techniques.
• Experience with Agentic AI frameworks and autonomous AI workflows.
• Familiarity with vector databases and semantic search technologies.
• Experience with Prompt Engineering and AI model optimization.
• Hands-on experience deploying applications on Google Cloud Platform (GCP).
• Strong problem-solving, analytical thinking, and collaboration skills.
• Ability to work effectively in agile development environments.

Responsibilities

• Design and develop Generative AI applications using Python and modern AI frameworks.
• Build and maintain scalable REST APIs using Flask and related backend technologies.
• Implement Retrieval-Augmented Generation (RAG) architectures to enhance AI response accuracy.
• Integrate and optimize Large Language Models (LLMs) through API-based interactions.
• Develop Agentic AI solutions capable of autonomous and intelligent task orchestration.
• Design, manage, and optimize vector database implementations for semantic search and retrieval.
• Collaborate with cross-functional teams to define AI solution requirements and technical architecture.
• Optimize application performance, scalability, security, and reliability across AI platforms.
• Create and refine prompt engineering strategies to improve model outputs and business outcomes.
• Deploy and manage AI workloads on Google Cloud Platform (GCP).

Skills

Python programming

Backend development

AGILE collaboration

Problem solving

Prompt engineering

LLM integration

RAG architectures

Vector databases

GCP deployment

AI model optimization

Tools

Flask

SQL

Vector databases

FastAPI

Docker

Kubernetes

GCP (Cloud)

Job description

Job Title: Generative AI Python Engineer (GenAI Python Engineer) | Nineleaps | Bangalore / Hyderabad, India

Recruiting Company: Nineleaps

Job Location: Bangalore or Hyderabad, India

Job Type: Full-Time | Hybrid

Position Summary

Nineleaps is seeking a talented Generative AI Python Engineer to design and build next-generation AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role offers the opportunity to work on innovative AI solutions that transform business processes through intelligent automation, advanced analytics, and conversational AI technologies.

Detailed Job Description

As a GenAI Python Engineer, you will be part of a forward-thinking engineering team focused on delivering cutting-edge Artificial Intelligence solutions. You will design, develop, and optimize AI-driven applications using Python, REST APIs, vector databases, and cloud-native technologies on Google Cloud Platform (GCP). The position requires hands-on experience integrating Large Language Models through APIs, implementing RAG architectures, and developing intelligent agents capable of autonomous task execution. You will collaborate closely with product teams, solution architects, and data engineers to create scalable, reliable, and high-performance AI systems. This is an exciting opportunity for professionals passionate about Generative AI, machine learning innovation, and emerging AI technologies.

Key Responsibilities

• Design and develop Generative AI applications using Python and modern AI frameworks
• Build and maintain scalable REST APIs using Flask and related backend technologies
• Implement Retrieval-Augmented Generation (RAG) architectures to enhance AI response accuracy
• Integrate and optimize Large Language Models (LLMs) through API-based interactions
• Develop Agentic AI solutions capable of autonomous and intelligent task orchestration
• Design, manage, and optimize vector database implementations for semantic search and retrieval
• Collaborate with cross-functional teams to define AI solution requirements and technical architecture
• Optimize application performance, scalability, security, and reliability across AI platforms
• Create and refine prompt engineering strategies to improve model outputs and business outcomes
• Deploy and manage AI workloads on Google Cloud Platform (GCP)

Required Qualifications & Skills

• 3-4 years of professional software development experience with Python
• Strong expertise in Python programming and backend application development
• Hands-on experience building RESTful APIs using Flask or similar frameworks
• Solid understanding of SQL and database design principles
• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions
• Strong knowledge of Large Language Models (LLMs) and AI model integration techniques
• Experience with Agentic AI frameworks and autonomous AI workflows
• Familiarity with vector databases and semantic search technologies
• Experience with Prompt Engineering and AI model optimization
• Hands-on experience deploying applications on Google Cloud Platform (GCP)
• Strong problem-solving, analytical thinking, and collaboration skills
• Ability to work effectively in agile development environments

Nice-to-Have Skills

• Experience with FastAPI for high-performance API development
• Knowledge of LangChain, LlamaIndex, or similar GenAI orchestration frameworks
• Experience with Docker and Kubernetes containerization platforms
• Exposure to Machine Learning Operations (MLOps) and AI deployment pipelines
• Familiarity with cloud-based data engineering and big data solutions
• Experience with AI observability, monitoring, and model evaluation frameworks

Recruitment Pro Tip

Showcase real-world Generative AI projects that demonstrate RAG implementation, LLM integration, vector database usage, and Agentic AI workflows. Candidates who clearly quantify business impact, such as reduced response time, improved accuracy, increased automation, or production-scale AI deployments, will have a significant advantage during shortlisting and technical interviews.