AI Engineer
Job Summary
Role: AI Engineer
Location: Plano TX
Go Python Java Terraform C2 S3 Terraform/CloudFormation Lambda DynamoDB Troubleshooting Skills - 5 years:
Systematic debugging
Log analysis
Performance profiling
Incident response
Prompt Engineering - 2 years:
Prompt Design: effective prompts for different personas tasks schema & models Few-shot & Zero-shot Learning: guide model behaviors Tool use integration: prompt to interact with APIs Databases and external tools Building AI Agents - 2 years:
Agent Frameworks: langchain autogen crewai MCP etc.
Memory & Context Management: long-term memory RAG Tool Use & Planning: Integrating external tools (API/DB) multi-step reasoning task decomposition State management: goal tracking actions outcomes LLM Integration: using common open and closed models (OpenAI Gemini Anthropic Llama etc.) Evaluation & safety: testing agent behavior fail-safes ethical constraints
Security: input sanitization sensitive data handling prompt injection projection scoped permissions logging rate limiting
Bedrock Bedrock Agents IAM policies roles KMS secrets manager
Role Descriptions: Troubleshooting Skills 5 years:Systematic debuggingLog analysisPerformance profilingIncident responsePrompt Engineering 2 years:Prompt Design: effective prompts for different personas tasks schema & modelsFew-shot & Zero-shot Learning: guide model behaviorsTool use integration: prompt to interact with APIs Databases and external toolsBuilding AI Agents 2 years:Agent Frameworks: langchain autogen crewai MCP & Context Management: long-term memory RAGTool Use & Planning: Integrating external tools (API/DB) multi-step reasoning task decompositionState management: goal tracking actions outcomesLLM Integration: using common open and closed models (OpenAI Gemini Anthropic Llama etc.)Evaluation & safety: testing agent behavior fail-safes ethical constraintsSecurity: input sanitization sensitive data handling prompt injection projection scoped permissions logging rate limiting