Generative AI Integration Developer_Immediate Joiners_Work From Office

We are looking for a Generative AI Integration Developer to join our client's team and work on cutting-edge AI solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs) and Foundation Models, integrating them into enterprise applications.

Job Title: Generative AI Integration Developer

Experience: 7 12 years overall experience including a minimum 3+ years of hands-on experience in AI/ML development, LLM integration, or Generative AI agent development, with a strong focus on prompt engineering and fine-tuning pre-trained models

Employment Type: Full-Time

Salary: Best in the industry

Key Responsibilities:

• Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs.
• Design and build AI-powered interfaces and agents for seamless user interaction.
• Implement prompt engineering techniques to optimize AI responses.
• Work on Python-based microservices using Flask, Django, or similar frameworks.
• Collaborate with cross-functional teams to deploy AI solutions.
• Monitor and optimize AI performance using analytics tools.
• Stay updated with the latest trends in Generative AI and NLP.

Required Skills:

• 712 years in software development with at least 3 years in AI/ML, LLM integration, or Generative AI agent development.
• Proven expertise in prompt engineering and fine-tuning pre-trained models for AI solution development.
• Hands-on experience integrating LLMs (e.g., OpenAI, Anthropic, Hugging Face) via APIs, with knowledge of model selection, optimization, and deployment.
• Ability to design AI agents/interfaces and implement RAG systems—especially in projects involving numeric data analysis and response generation.
• Strong grasp of NLP concepts and experience applying AI to structured/numeric data, including preprocessing, pattern detection, and summarization.
• Advanced skills in Python with frameworks like FastAPI, Flask, or Django, and experience in building AI microservices and consuming third-party APIs.
• Ability to design and implement microservices tailored for AI/LLM integration in scalable environments.
• Practical experience deploying AI on AWS using services like Amazon Bedrock, Lambda, S3, Step Functions, and DynamoDB.
• Familiarity with CI/CD pipelines, cloud-native deployments, infrastructure automation, and building AI chatbots on cloud platforms.
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field.

If you're passionate about AI and want to work on innovative solutions, apply now!