Architect and code sophisticated AI modules, including high-performance embedding pipelines, custom chunkers, and advanced retrieval evaluators
Lead the integration of intelligent agent services with diverse internal and external APIs and vector databases
Stay at the bleeding edge of AI research, implementing the latest advancements in fine-tuning, RLHF, and prompt engineering frameworks
Drive agile excellence by spearheading sprint deliveries and collaborating with cross-functional leaders
Champion code quality and team growth by performing high-level peer reviews
Architect and implement modular, cloud-native microservices that integrate GenAI into our production ecosystem
Take ownership of the production lifecycle by building robust CI/CD pipelines
Drive technical excellence by developing comprehensive evaluation suites

6+ years of robust engineering experience
Python expert with a deep understanding of developing and scaling high-quality code
At least 6 months of hands-on experience building and deploying GenAI applications
Strong background in RAG frameworks, including vector databases, hybrid search, and ANN algorithms
B.Tech, M.E, M.Tech, or M.S. in Computer Science Engineering from a premier institute

Artificial Intelligence Engineer

Key skills