Lead AIML Engineer

Job Title: AI/ML Lead Engineer

Location : Dallas, TX OR Tampa, FL (Hybrid Onsite -3 Days Onsite Per Week)

Duration : Fulltime

Teams Meeting Interview

Job Description:

Berribot test Require

dCandidates should go for Karat Assessment in person for any of the Wipro office in mentioned location.

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 Responsibilitie

s:
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutio

ns.Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performan

ce.Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelin

es.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflo

ws.Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bas

es.Ensure compliance with best practices for cloud deployment (AWS, Azure, or GC

P).Conduct performance tuning and optimization of AI models and AP

Is.Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologi

es.
Required Skills & Qualificat

• ions
  8 years of professional experience in software development and system de
• sign.Strong proficiency in Python and experience with FastAPI for API develop
• ment.Hands-on experience with Generative AI frameworks and RAG architect
• ures.Solid understanding of system and architecture design principles for distributed applicat
• ions.Experience deploying solutions on any major cloud platform (AWS, Azure,
• GCP).Familiarity with vector databases, embedding models, and retrieval pipel
• ines.Strong problem-solving skills and ability to work in a fast-paced environ

ment.
Preferred Qualific

• ations
  Experience with LLM fine-tuning, prompt engineering, and model eval
• uation.Knowledge of containerization (Docker) and orchestration (Kuber
• netes).Exposure to CI/CD pipelines and DevOps pra