Lead Engineer

Job Description: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 constraintsSecurity: input sanitization, sensitive data handling, prompt injection projection, scoped permissions, logging, rate limiting"Bedrock, Bedrock Agents, IAM policies, roles, KMS, secrets managerRole Descriptions:Troubleshooting Skills 5 years: Systematic debugging Log analysis Performance profiling Incident responsePrompt 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| RAGTool Use & Planning: Integrating external tools (API/DB)| multi-step reasoning| task decompositionState 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 limitingEssential Skills: Go| Python| Java| Terraform| C2| S3| Terraform/CloudFormation| Lambda| DynamoDB Bedrock| Bedrock Agents| IAM policies| roles| KMS| secrets manager