Principal AI Engineer
Bengaluru, Karnataka, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build agent lifecycle frameworks
- Build agentic workflows
- Create inference pipelines
- Deploy event driven architectures
- Deploy with Docker and Kubernetes
- Design AI infrastructure
- Develop backend APIs
- Ensure security and governance
- Implement MLOps workflows
- Implement model routing
- Integrate LLM and data sources
- Mentor engineering teams
- Monitor using observability tools
- Orchestrate workflows and evaluations
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous programming | CI/CD | Distributed tracing | Docker | Embeddings | Event Driven | Event-driven architecture | Inference | Kubernetes | LLM | MLOps | Model Deployment | Model Evaluation | Model routing | Model versioning | Observability | PostgreSQL | Prompt management | Python | REST APIs | Redis | Retrieval-Augmented Generation | Rust | Tool-Calling | Vector Databases
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Senior AI Engineer
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