AI Engineer (Agentic AI / MCP)
INR 2475K-3465K (estimate) Senior-level Full Time
Tasks
- Build AI services and integrations
- Champion best practices
- Collaborate with technical and non-technical partners
- Create MCP servers and integrate MCP tools
- Create RAG pipelines
- Design agentic AI planners executors and tool routing
- Develop LLM applications
- Develop high-quality production code
- Engineer observability for AI systems
- Implement conversation state memory and reflection loops
- Implement security for AI data handling
- Lead technical walkthroughs
- Optimize prompt and agent telemetry for cost and latency
- Produce system design documents
Perks/Benefits
- Company-matched student loan contribution
- Continuous learning
- Family-friendly benefits
- Financial wellness programs
- Flexible time off
- Health insurance
- Retail discounts
- Retirement planning
Skills/Tech-stack
API Design | AWS | Access Control | Agent Frameworks | Agents SDK | Apache Airflow | Apache Solr | Apache Spark | CI/CD | Cost Optimization | CrewAI | Docker | Elasticsearch | Embeddings | Fallback strategies | Hadoop | Hive | Kubernetes | Langgraph | Language Models | Large Language Models | Latency optimization | Learn to Rank | Logging | MCP | MS SQL | MS SQL Server | Model Context Protocol | Monitoring | Observability | OpenAI Agents | OpenAI Agents SDK | PII handling | Personalization | Prompt engineering | Python | RAG | Rate Limiting | Re-ranking | Recommendation Systems | Retrieval-Augmented Generation | SQL Server | Sandbox execution | Secrets management | Secure Sandbox | Secure Sandbox Execution | Semantic Kernel | Serverless | Spark SQL | Tool-Calling | Tracing | Transact-SQL
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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