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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI agents and orchestration capabilities using Python, LangGraph, and LangChain, with a strong focus on integrating AI solutions with enterprise systems and enhancing conversational AI experiences.
Highest-signal resume keywords
Python ProgrammingLangGraph ExperienceLangChain Application DevelopmentAI Agent IntegrationAI Observability with Arize
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 IntegrationModel Context Protocol (MCP)Agent-to-Agent (A2A) Communication
Soft Skills
CollaborationTroubleshootingProblem Solving
Tools & Technologies
ArizeAI Observability Platforms
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 Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication
- Work with AI observability and telemetry capabilities, including Arize
- Collaborate with engineers and subject-matter experts to accelerate platform development and business use case delivery
- 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, including 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 Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication is nice to have
- Experience building conversational AI or chat-based experiences in production is nice to have
- Experience working on a shared, centralized AI platform serving multiple business use cases is nice to have
Benefits
Comp & perks- Health insurance
- Relocation program
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Remote work flexibility
- Collaboration on impactful projects for top global clients
- Inclusive and supportive work environment
- Regular team-building company social events