Applied AI Engineer
Hybrid in Bangalore, India
R
INR 1800K-2500K (estimate) Mid-level Full Time
Tasks
- Author and maintain MCP connectors for internal tools APIs and data systems
- Build evaluation harnesses for agent quality and regression detection
- Design and build AI agents platform orchestration and routing
- Embed with internal teams to map workflows and identify bottlenecks
- Implement access controls logging and rate limiting for agents platform
- Monitor agent quality and triage failures
- Review outputs and iterate based on usage data
- Scope prototype and ship AI agents and automations
- Write and review production code with security testing and maintainability
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Control | Agent Orchestration | Anthropic API | CrewAI | Database Integration | Debugging | Evaluation Pipelines | Hybrid search | LLM tool-use | Langchain | Langfuse | Language Models | Large Language Models | Logging | MCP (Model Context Protocol) | Metrics | Model Context Protocol | OpenAI API | OpenTelemetry | Prompt engineering | Python | Rate Limiting | Re-ranking | Regression Detection | Tool use | Vector Databases
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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