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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying autonomous AI agents with a focus on multi-step reasoning, integration with APIs, and production-ready backend services using Python and Java. Proficient in cloud-native deployment, CI/CD practices, and optimizing AI agent performance for scalability and reliability.
Highest-signal resume keywords
Python DevelopmentJava DevelopmentLangChain FrameworkMicrosoft Azure AI/MLAPI Development
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DevelopmentPrompt EngineeringMemory ArchitecturesScalable System DesignDistributed SystemsAsynchronous ProcessingCI/CDCloud-Native DeploymentDebuggingPerformance Optimization
Soft Skills
CommunicationCollaborationStakeholder Management
Tools & Technologies
LangGraphSaaS PlatformsMonitoring ToolsLogging FrameworksAI Evaluation Frameworks
Industry Keywords
AI SolutionsAgent OrchestrationProduction EnvironmentsEmerging LLM TechnologiesApplied AI Best Practices
Tech Stack
Tools & technologiesAzureCloudDistributed SystemsJavaPython
About the role
Key responsibilities & impact- Design, develop and deploy autonomous AI agents capable of multi-step reasoning, planning and decision-making
- Build and orchestrate agent workflows using LangChain, LangGraph and modern agent frameworks
- Integrate AI agents with APIs, databases and SaaS platforms for end-to-end task execution
- Develop prompt engineering strategies, memory architectures and tool-use capabilities
- Build production-ready backend services and APIs using Python and Java
- Deploy, monitor and maintain AI agents with focus on scalability, reliability and observability
- Optimize AI agent performance across latency, cost and reliability
- Debug, evaluate and continuously improve agent behavior through testing, logging and feedback loops
- Implement cloud-native deployment, CI/CD, monitoring and production support capabilities
- Collaborate with product, engineering and data teams to embed AI agents into business workflows
- Evaluate emerging LLM technologies, agent frameworks and applied AI best practices
- Provide technical guidance on AI agent architecture, integration and production adoption
Requirements
What you’ll need- Total experience 7.5+ years
- Strong experience in Python and Java development, coding and backend engineering
- Hands-on experience with Microsoft Azure AI/ML and cloud-based AI solutions
- Experience building and deploying AI agents for production environments
- Strong experience with LLM application frameworks such as LangChain, LangGraph or equivalent
- Experience with API development, integration, databases and external SaaS platforms
- Experience with prompt engineering, agent orchestration, memory architectures and tool-use capabilities
- Experience with scalable system design, distributed systems and asynchronous processing
- Experience with CI/CD, containers, cloud-native deployment and production monitoring
- Knowledge of observability, logging, debugging and AI agent evaluation frameworks
- Strong understanding of LLM providers and modern AI developer tools
- Excellent communication, collaboration and stakeholder management skills
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field
Benefits
Comp & perks- Employees can work remotely