Principal AI Engineer

cornerstone

Hyderabad 8 years experience Posted 2h ago

Design, build, and operate AI-powered applications, including LLM-based services, ML-driven workflows, and intelligent automation.
Integrate AI capabilities into Java-based backend systems and cloud-native platforms.
Design scalable API-first services (REST & GraphQL) exposing AI capabilities across products.
Implement data pipelines supporting feature engineering, retrieval-augmented generation (RAG), vector search, and inference.
Apply best practices for prompt design, model orchestration, evaluation, and observability.

Build and operate cloud-native AI systems on AWS, including EC2, S3, RDS, Lambda, and EKS.
Design containerized workloads using Docker and Kubernetes (EKS).
Optimize systems for scalability, latency, reliability, and cost efficiency.
Implement Infrastructure as Code using Terraform or AWS CDK.

Design and operate relational (SQL) and NoSQL data stores for high-scale, distributed systems.
Make informed trade-offs around data consistency, availability, and performance.
Work with event-driven and asynchronous architectures where appropriate.

Lead complex technical initiatives end-to-end, from design through production deployment.
Influence system design and engineering standards across teams through design reviews and technical guidance.
Mentor senior engineers and raise the overall bar for AI and cloud engineering excellence.
- Collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities.