About the role
from listingCompany:A Large Global Organization
Key Skills: Agentic AI, Fast Api, Python, Microservices, NLP, Deep Learning, Retrieval-Augmented Generation (RAG), Machine Learning, AWS Cloud, Data Science, Ms Sql
Roles and Responsibilities:
Design and deliver production GenAI systems using retrieval-augmented generation, model adaptation and multi-step agent workflows.
Develop Python backend services with FastAPI and microservices patterns, including asynchronous processing, streaming, retries and rate-limit handling.
Build evaluation frameworks covering retrieval quality, generation quality, regression testing, golden datasets and model or prompt changes.
Deploy and operate AI services on AWS, establishing reliability, monitoring, tracing, cost controls and model fallback strategies.
Review architecture and code, mentor engineers, and advise product and business stakeholders on practical AI capabilities and limitations.
Skills Required:
13 - 16 years of experience in software engineering, data science or machine learning, including at least 5 years in machine learning or NLP and at least 2 years building production GenAI systems.
Expert-level Python development with production-quality, maintainable and tested code.
Strong foundations in NLP and deep learning, including transformers, attention, embeddings, tokenization and NLP evaluation metrics.
Hands-on experience building retrieval-augmented generation systems and agentic AI workflows in production.
Proven experience designing FastAPI microservices and deploying AI applications using AWS Cloud services.
Production database experience with MySQL and the ability to design data layers for application, conversation and audit data.
Good to Have:
Experience with machine learning and data science practices.
Education: Bachelor's or master's degree in computer science, engineering, mathematics or a related discipline
Seniority level: Mid-Senior level
Employment type: Full-time
Industries: Hospitals and Health Care