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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Python development and enterprise application integration, with a strong focus on building and optimizing AI agents and orchestration capabilities. Proficient in implementing conversational AI solutions and ensuring performance tracking and observability in production environments.
Highest-signal resume keywords
Python DevelopmentLangGraph ExperienceLangChain ExperienceConversational AI DesignAI 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
AI Agent DevelopmentOrchestration CapabilitiesGenerative AI ApplicationsWorkflow AutomationPerformance OptimizationAgile DevelopmentDebuggingTestingMemory ManagementTool-Calling Frameworks
Soft Skills
Problem-SolvingCommunicationStakeholder Management
Tools & Technologies
AI Observability PlatformsCloud PlatformsAPIsVector DatabasesSemantic Search Technologies
Industry Keywords
Enterprise SystemsHealthcare ComplianceMulti-Agent SystemsRetrieval-Augmented GenerationCentralized AI Platforms
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
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 and automation capabilities
- Design, develop, and optimize conversational AI and chat-based experiences
- Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities
- Integrate AI agents and applications with enterprise systems, services, and APIs
- Support modern AI integration frameworks and agent communication patterns
- Implement AI observability, monitoring, telemetry, and performance tracking capabilities
- Collaborate with engineering teams and stakeholders to accelerate platform development and business use case delivery
- Troubleshoot technical challenges, improve solution reliability, and drive continuous platform enhancements
- Contribute to architecture discussions, best practices, and the adoption of scalable AI engineering standards
Requirements
What you’ll need- 8+ years of hands-on experience in Python development and enterprise application development
- 2+ years of hands-on experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows
- 2+ years of experience with LangChain, including building LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation
- Strong understanding of agentic AI concepts, including AI agents, planning, orchestration, memory management, and tool-calling frameworks
- Experience building and deploying production-grade Generative AI applications and solutions
- Experience integrating AI applications with enterprise platforms, backend services, and APIs
- Experience designing and implementing conversational AI and chat-based applications in production environments
- Familiarity with AI observability, monitoring, telemetry, and evaluation platforms
- Strong knowledge of software engineering best practices, testing, debugging, and performance optimization
- Experience working in Agile development environments and collaborating with cross-functional teams
- Excellent problem-solving, communication, and stakeholder management skills
- Hands-on experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication (nice to have)
- Experience building and deploying multi-agent AI solutions in production (nice to have)
- Experience implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems (nice to have)
- Experience working with vector databases and semantic search technologies (nice to have)
- Experience with cloud platforms such as Azure, AWS, or GCP (nice to have)
- Experience working on centralized AI platforms supporting multiple business functions and use cases (nice to have)
- Exposure to healthcare or other highly regulated enterprise environments (nice to have)
Benefits
Comp & perks- Comprehensive compensation and benefits package, including health insurance
- Relocation program
- Remote work flexibility / Work From Anywhere Culture
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Collaboration on impactful projects for top global clients
- Inclusive and supportive work environment with open communication
- Regular team-building company social events