AI LEAD L1

Senior Generative AI Developer – responsible for designing and implementing cutting‑edge AI solutions leveraging Retrieval‑Augmented Generation (RAG) techniques. The role requires strong expertise in Python programming, FastAPI, cloud platforms (AWS, Azure, GCP), 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, or GCP). Familiarity with vector databases, embedding models, and retrieval pipelines. Strong problem‑solving skills and ability to work in a fast‑paced environment. 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. Mandatory skills: Generative AI; experience: 5–8 years. Preferred Qualifications Optional experience in containerization, orchestration, CI/CD, and DevOps enhances candidacy but is not mandatory. Compensation & Benefits The expected compensation for this role ranges from $60,000 to $135,000. Final compensation will depend on geographical location, wage obligations, skills, and experience. Eligible benefits include medical and dental coverage, disability insurance, paid time off (inclusive of sick leave), and other paid/unpaid leave options. Drug Screening Requirement Employment may be conditioned on successful completion of a post‑offer drug screening, subject to applicable state law. EEO Statement Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome. #J-18808-Ljbffr Wipro