Software Engineer II - AI & Agentic Automation
INR 1200K-2500K (estimate) Mid-level Full Time
Tasks
- Analyze incidents and perform root cause analysis
- Build conversational AI applications
- Conduct feasibility studies
- Create test strategies for AI systems
- Design multi-agent workflows
- Develop AI evaluation frameworks
- Develop agentic AI solutions
- Develop intelligent document processing solutions
- Implement CI/CD pipelines
- Implement continuous improvements with prompt engineering
- Implement human-in-the-loop controls
- Implement infrastructure-as-code
- Implement intelligent automation workflows
- Implement secure OAuth API integrations
- Integrate automation with enterprise APIs
- Integrate with databases and third party platforms
- Monitor production AI systems
- Provision and manage AWS environments
- Support DevOps best practices
- Support relational database integration
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | AWS CDK | AWS CloudFormation | AWS environments | Agent Orchestration | Agent systems | Autogen | Azure AI | Azure AI Search | Bitbucket | CI/CD | Copilot Studio | CrewAI | Excel Macros | Git | Infrastructure as Code | JSON | JavaScript | Langchain | Langgraph | MCP | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Power | Microsoft Power Automate | Model Context Protocol | Multi-Agent | Multi-Agent Systems | OAuth | OCR | Outlook Automation | Pinecone | PostgreSQL | Power Automate | Prompt engineering | Python | REST APIs | SQL | SQL Server | Semantic Kernel | Semantic Search | Structured outputs | Terraform | Tool-Calling | UiPath | VBA | Vector Databases | Weaviate | XML | “as-code”
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