Sr. AI Engineer
INR 2500K-4800K (estimate) Senior-level Full Time
Tasks
- Build and structure enterprise knowledge base
- Configure AI agents and intelligent automation solutions
- Contribute to CI/CD pipelines
- Define RAG success criteria and KPIs
- Deploy agents and knowledge bases to production
- Design AI agent workflows
- Develop prompt and agent prototypes
- Document agent configurations and runbooks
- Implement root cause analysis and error handling
- Integrate LLM API calls
- Integrate RAG pipelines for knowledge retrieval
- Integrate RPA workflows and external API tasks
- Monitor and improve agent and retrieval quality
- Write unit and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent memory | Anthropic API | Autogen | Automation Anywhere | CI/CD | CrewAI | Data Pipelines | Driven systems | Embedding Models | Event Driven | Event Driven Systems | Exception Handling | Gemini API | Google Gemini | Google Gemini API | Guardrails | Integration Testing | LLM APIs | Langchain | Langgraph | Logging | Microsoft Power | Microsoft Power Automate | Multi-step reasoning | OpenAI API | Power Automate | Prompt engineering | Python | RAG Pipelines | RPA Workflows | Retrieval-Augmented Generation | Structured Prompt Engineering | Tool usage | UiPath | Unit Testing | Validation | Vector Databases | Vector Stores
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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