Senior Applied AI Engineer
Tasks
- Build and operationalize agentic AI solutions
- Create technical documentation and deployment monitoring
- Design evaluation and guardrail strategies for LLM systems
- Develop production ready APIs for AI applications
- Ensure reliability scalability security observability and evaluation
- Implement RAG pipelines and multi agent workflows
- Integrate agents with enterprise systems
- Perform code reviews and automated testing
- Translate designs and requirements into production code
Perks/Benefits
Skills/Tech-stack
AI/ML | API Development | AWS Bedrock | AWS SageMaker | Agent systems | AgentOps | Azure AI | Azure AI/ML | Cloud Native | Cloud-native AI | Context engineering | Evaluation | Function Calling | Guardrails | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | SQL | Snowflake Cortex | Tool-Calling
Education
N/A
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