Senior Generative AI Developer

Senior Generative AI Developer
Dallas, TX, Tampa, FL , New Jersey - Hybrid
preferred Full-Time (Full Time)

NOTE: H1 Transfer is also fine and Premium should be taken care by Candidate. Also from Client and Client, there is an AI test preferred for the interviews. There might be a small discussion with HM, otherwise preferred assessments.

Role Overview
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or Google Cloud Platform). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.Key Responsibilities

• Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
• Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
• Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
• Ensure compliance with best practices for cloud deployment (AWS, Azure, or Google Cloud Platform).
• Conduct performance tuning and optimization of AI models and APIs.
• Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications

• 8+ years of professional experience in software development and system design.
• Strong proficiency in Python and experience with FastAPI for API development.
• Hands-on experience with Generative AI frameworks and RAG architectures.
• Solid understanding of system and architecture design principles for distributed applications.
• Experience deploying solutions on any major cloud platform (AWS, Azure, Google Cloud Platform).
• Familiarity with vector databases, embedding models, and retrieval pipelines.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

• Experience with LLM fine-tuning, prompt engineering, and model evaluation.
• Knowledge of containerization (Docker) and orchestration (Kubernetes).

Exposure to CI/CD pipelines and DevOps practices