Work with Product Managers to define what capabilities should be built in the product
Understand customer use cases and help them use products effectively
Responsible for the growth of reports
Fill in process/practice gaps within the team/organization
Lead by example as a manager

8+ years of experience in building enterprise software
2+ years of management experience
Bsc/Msc in related field or equivalent experience
Strong written and oral communication skills
Good understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Strong Understanding of Distributed Systems and building systems at scale
Should be able to drive the architecture/design and provide technical direction & guidance to the team
Self-driven and motivated, with a strong sense of ownership and craftsmanship
Experience in Golang, node.js, React, or Angular
Experience with open source foundation models, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG)
Experience building and deploying production generative AI applications
Experience with Generative AI frameworks (LangChain, Guidance, etc.)
Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.)
Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
Experience with cloud technologies (AWS, GCE, Azure)
Experience using Big Data technologies like Spark, Hive etc.

Engineering Manager – Enterprise AI Platform

Key skills