AI Engineer
INR 2500K-4580K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering
- Build AI solutions using Amazon Bedrock
- Build integrations with enterprise applications
- Build multi-agent workflows
- Configure knowledge grounding from enterprise content
- Create reusable AI skills tools prompts orchestrations
- Deploy secure scalable AI services in AWS
- Design AI agents
- Design conversation flows actions prompts and workflows
- Develop AI backend services and APIs
- Develop AI guardrails and content safety controls
- Develop enterprise knowledge assistants using RAG
- Implement AI observability and monitoring
- Implement conversational AI assistants
- Implement memory management
- Implement rag pipelines
- Implement tool calling
- Integrate LLMs and orchestration layers
- Support AI model evaluation and continuous improvement
Perks/Benefits
- N/A
Skills/Tech-stack
AI guardrails | API Gateway | AWS API | AWS API Gateway | AWS DynamoDB | AWS EventBridge | AWS Lambda | AWS S3 | AWS Step Functions | Agentic AI | Amazon Bedrock | Amazon Knowledge Bases | Azure OpenAI | Claude | Copilot Studio | Dataverse | JavaScript | Knowledge bases | LLM Evaluation | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Graph | Model Context Protocol | Power Automate | Power Platform | Prompt engineering | Python | RAG | REST APIs | SQL | Semantic Search | Step Functions | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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