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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python programming and application development, with a strong focus on building AI agents and orchestration capabilities using LangGraph and LangChain. Proficient in integrating AI solutions with enterprise systems and enhancing conversational AI experiences.
Highest-signal resume keywords
Python ProgrammingLangGraph DevelopmentLangChain IntegrationAI Agent OrchestrationAPI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingLangGraphLangChainAgent PlanningOrchestrationTool InvocationResponse SynthesisAPI IntegrationAI ObservabilityTelemetry
Soft Skills
CollaborationTroubleshootingProblem Solving
Tools & Technologies
ArizeModel Context Protocol (MCP)Agent-to-Agent (A2A) Communication
Industry Keywords
Conversational AIChat-Based ExperiencesAI-Enabled WorkflowsEnterprise Backend Systems
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop and enhance AI agents and orchestration capabilities using Python, LangGraph and LangChain
- Build and extend AI-enabled guided workflows within the platform
- Contribute to conversational AI and chat-based experiences
- Implement agent planning, orchestration, tool invocation and response-synthesis capabilities
- Integrate AI agents with enterprise backend systems and services
- Support integration patterns using MCP and A2A communication
- Work with AI observability and telemetry capabilities, including Arize
- Collaborate with engineers and subject-matter experts on core platform development and business use cases
- Troubleshoot technical issues, improve solution reliability and continuously enhance AI capabilities
Requirements
What you’ll need- Strong hands-on Python programming and application development experience
- Practical experience with LangGraph, building agent workflows, stateful orchestration and AI-driven execution flows
- Experience developing LLM-powered applications with LangChain, including integrating tools and external services
- Solid understanding of agentic AI, including AI agents, planning, orchestration and tool-calling patterns
- Experience integrating applications with backend services and enterprise systems through APIs
- Familiarity with Arize or comparable AI observability and telemetry platforms
- Hands-on experience with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication (nice to have)
- Experience building conversational AI or chat-based experiences in production (nice to have)
- Experience working on a shared, centralized AI platform serving multiple business use cases (nice to have)
Benefits
Comp & perks- Comprehensive compensation and benefits package
- Health insurance
- Relocation program
- Remote work flexibility
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Impactful projects for top global clients
- Inclusive and supportive work environment
- Open communication
- Regular team-building company social events