Artificial Intelligence (AI)
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 GCP). 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 GCP).
- 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, GCP).
- 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
Regards
Sudhir Hooda
Tanisha Systems Inc.
Office:
ISO 9001:2015 Certified Company
Email: [redacted email]
Address: 99 Wood Ave South, Suite # 308, Iselin, NJ 08830