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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 multi-agent workflows, optimizing performance and security for AI applications, and managing LLM observability platforms. Proficient in Python and scalable architecture with a strong focus on building production-grade AI agents.
Highest-signal resume keywords
Python DevelopmentLangGraph Workflow DesignLLM Observability ManagementContainerized Deployments with DockerAdvanced Prompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Software DevelopmentAI Agent DevelopmentModular System DesignPerformance OptimizationRegression TestingAutomated Evaluation FrameworksDynamic Context-Loading MechanismsScalable ArchitectureOpen-Weights ModelsModel Context Protocol (MCP)
Soft Skills
High Ownership MindsetEmpathetic Communication
Tools & Technologies
LangFuseMicrosoft 365 Agents SDKDockerAzurePromptFlowPromptFoo
Industry Keywords
Foundation ModelsLLM WorkflowsOWASP Top 10Security IntegrationCloud Platforms
Tech Stack
Tools & technologiesAzureCloudDockerPython
About the role
Key responsibilities & impact- Design and deploy hierarchical multi-agent workflows using LangGraph
- Transition legacy single-prompt applications into modular, autonomous systems
- Build domain-specific sub-agents with dynamic, on-demand context-loading mechanisms
- Optimize operational security, performance, latency, and token costs
- Integrate scalable tool-calling capabilities and standardized connectors using the Model Context Protocol (MCP)
- Manage and configure LangFuse for LLM reasoning traces, performance metrics, and cost allocation
- Create regression testing suites and automated evaluation harnesses using PromptFlow or PromptFoo
- Collaborate with security leads to integrate access controls and OWASP Top 10-aligned guardrail frameworks for LLM applications
Requirements
What you’ll need- 5+ years of professional backend software development experience, primarily centered around Python and scalable architecture
- 2+ years of hands-on experience building production-grade AI agents or complex LLM workflows using LangGraph or LangChain
- Deep experience working with foundation models including Anthropic Claude, OpenAI, and Google Gemini
- Experience with open-weights models and advanced prompt engineering
- Experience with Microsoft 365 Agents SDK
- Direct experience setting up LLM observability platforms such as LangFuse
- Experience with automated evaluation/testing frameworks
- Practical knowledge of containerized deployments using Docker across cloud platforms like Azure
- High ownership mindset and empathetic communication style
- Advanced English proficiency, written and spoken
- Ability to engage directly with U.S. engineering teams
Benefits
Comp & perks- Continuous multi-project pipeline
- Agentic AI tools and training
- Coursera Enterprise
- Studio practice labs
- L1-L7 Career Framework
- High-touch onboarding
- Transparent leadership communication
- Community recognition
- Psychological safety
- Holidays off
- Paid time off
- Health insurance assistance program
- Opportunity to work with high-growth US-based companies and cutting-edge tech stacks