{"schemaVersion":"jobsearcher.job.v1","id":"83342f236bb043315a4c547e","url":"https://jobsearcher.com/jobs/83342f236bb043315a4c547e","canonicalUrl":"https://jobsearcher.com/jobs/83342f236bb043315a4c547e","title":"Lead Engineer","description":"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","company":"Programmers.io","rawCompany":"programmersio","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-18T09:16:23.881Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Engineer","description":"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","datePosted":"2026-09-18T09:16:23.881Z","dateModified":"2026-09-18T09:16:23.881Z","hiringOrganization":{"@type":"Organization","name":"Programmers.io","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"83342f236bb043315a4c547e"},"url":"https://jobsearcher.com/jobs/83342f236bb043315a4c547e"}}