About this role
Staff AI Engineer leading AI-assisted development initiatives, agent-based automation, and intelligent engineering workflows to accelerate productivity and modernize legacy systems. This role leverages GenAI tools across cloud-native environments and requires cross-stack expertise and leadership.
Key Responsibilities
- Drive the adoption of AI-assisted software development practices across the SDLC
- Implement context-driven AI code generation and agentic workflows
- Architect and deploy agent-based automation pipelines
- Lead modernization of legacy applications with AI-assisted refactoring
- Collaborate on governance, security, and model-ownership initiatives
Technical Overview
Architect cloud-native AI platforms across AWS/Azure/GCP, design multi-stack engineering solutions, implement MCP-based agent orchestration, and drive AI-enabled SDLC transformations with IaC, CI/CD, and observability.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with 12+ years across software and AI-augmented development, strong hands-on with GenAI tooling, agent orchestration, and AI-driven SDLC platforms. Needs deep experience across Python, Java, .NET, JavaScript/Vue.js and cloud platforms (AWS/Azure/GCP), plus leadership in distributed teams.
Must-Have Skills
12+ years in software engineeringdistributed systemscloud-native developmentor AI-augmented engineering transformationHands-on experience with Generative AI development toolsLLM-based developer toolsExperience designing large-scale distributed systemsExperience implementing AI-powered SDLC platformsHands-on work with agent orchestration frameworksAI-driven legacy modernizationProficient in PythonJava.NETJavaScript / Vue.jsCloud platforms (AWS / Azure / GCP)Infrastructure as CodeAPI-driven architecturesModel Context Protocol (MCP)Agentic workflow systemsMulti-agent architecturesCopilotCursorClaude Code
Nice-to-Have Skills
Master’s degree in engineeringtechnology or related fieldExperience with SaaS offerings in technology and financial industriesExperience building and deploying applications on Amazon Web ServicesExperience with mobile application development
Tools & Platforms
Amazon Web ServicesAzureGoogle Cloud PlatformREST APIGitHub CopilotClaude CodeCursorOpenClawn8nModel Context Protocol (MCP)
Required Skills
12+ years in software engineeringdistributed systemscloud-native developmentor AI-augmented engineering transformationGenerative AI development toolsLLM-based developer toolsAI-powered SDLC platformsagent orchestration frameworksAI-driven legacy modernizationPythonJava.NETJavaScript / Vue.jsAWS / Azure / GCPInfrastructure as CodeAPI-driven architecturesMCPAgentic workflowsMulti-agent architecturesCopilotCursorClaude CodeREST API
Hard Skills
12+ years of experience in software engineeringdistributed systemscloud-native developmentor AI-augmented engineering transformationGenerative AI development toolsLLM-based developer toolsDesigning large-scale distributed systemsAI-powered SDLC platformsAgent orchestration frameworksAI-driven legacy modernizationPythonJava.NETJavaScript / Vue.jsAWSAzureGoogle Cloud PlatformInfrastructure as CodeAPI-driven architecturesModel Context Protocol (MCP)Agentic workflow systemsMulti-agent architecturesCopilotCursorClaude CodeREST API
Soft Skills
leadershipcommunicationproblem-solvingcollaborationtime management
Keywords for Your Resume
Staff AI EngineerAI EngineerGenAILLM-based developer toolsCopilotCursorClaude CodeModel Context ProtocolMCPagent orchestrationmulti-agent architecturesAI-assisted developmentcloud-nativeAWSAzureGoogle Cloud PlatformPythonJava.NETJavaScriptVue.jsIaCCI/CDREST APIstaff ai engineerllmgenaicopilotcursorclaude codemodel context protocolmcpai-assisted development
Deal Breakers
12+ years of experience in software/AI, Hands-on with GenAI tools, Experience with AI-driven SDLC, Agent orchestration experience, Cloud platform experience (AWS/Azure/GCP)
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