Applied - AI Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build LLM-powered applications
- Call AWS AI services
- Collaborate with product designers and engineers
- Create REST APIs
- Deploy with Docker and Kubernetes
- Design AI and ML features
- Develop prompts and embeddings
- Develop scalable secure AI systems
- Follow secure coding practices
- Implement agentic AI solutions
- Implement observability
- Implement retrieval-augmented generation
- Integrate LLM API calls
- Perform code reviews
- Use vector databases for retrieval
- Write unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Amazon Bedrock | Amazon SageMaker | Async Programming | Azure | CI/CD | CloudFormation | Distributed tracing | Docker | EC2 | EKS | Embeddings | Evaluation Pipelines | Fine Tuning | GRPC | GenAI | Git | GitLab | GitOps | Go | Google Cloud | IAM | Infrastructure as Code | JSON | JWT | Java | Kubernetes | LLM API | Language Models | Large Language Models | LoRA | Model Fine-tuning | OAuth2 | OIDC | OpenAI Style Prompt Injection Mitigation | OpenTelemetry | PII handling | Prompt engineering | Prompt injection mitigation | Python | RAG | RDS | REST API | Retrieval-Augmented Generation | S3 | Secure Coding | Structured Logging | Terraform | Unit Testing | Vector Database | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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