Applied - AI Engineer
INR 2500K-5000K (estimate) Mid-level Full Time
Tasks
- Apply secure coding practices
- Build agentic AI solutions
- Deploy scalable AI systems
- Develop REST APIs
- Develop and deliver AI ML features
- Implement CI/CD pipelines
- Implement LLM-powered applications
- Implement RAG patterns
- Integrate LLM APIs
- Manage cloud based services for AI workloads
- Monitor and improve system performance
- Perform code reviews
- Write unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
AI RMF | AWS Bedrock | Amazon SageMaker | Amazon Web Services | Asynchronous programming | Azure | CI/CD | Cloud platform | CloudFormation | Distributed tracing | Docker | EC2 | EKS | Embeddings | GRPC | Git | GitLab | GitOps | Go | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | JSON | JWT | Java | JavaScript | Kubernetes | LLM | LLM Top 10 | Langgraph | MITRE ATT and CK | NIST AI | NIST AI RMF | OAuth2 | OIDC | OWASP LLM | OWASP LLM Top 10 | OpenTelemetry | Prompt engineering | Python | RAG | RDS | REST API | S3 | Secure Coding | Structured Logging | Terraform | Top 10 | Unit Testing | Vector Databases | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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