CX Developer

EXL

. Design and implement data analysis processes to derive actionable insights .

Posted 10/7/2026full-timeNoida • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, statistical modeling, and the design of generative conversational agents. Proficient in deploying backend APIs and optimizing agent performance metrics using advanced Python programming and cloud technologies.

Highest-signal resume keywords

Advanced Python ProgrammingGenerative Agent DesignGoogle Cloud FunctionsDialogflow CXLLM-Assisted Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingData AnalysisObject-Oriented ProgrammingPrompt EngineeringAPI DesignData HandlingPerformance Metrics OptimizationAsynchronous PatternsShell ScriptingProtocol Buffers Parsing

Soft Skills

CollaborationPresentation SkillsProblem Solving

Tools & Technologies

Gcloud CLIGemini CLIClaude CodeWebhook IntegrationsCloud Run

Industry Keywords

Conversational AgentsAgent ComponentsGoal-Oriented ArchitecturesAutomated EvaluationsSimulation Tests

Tech Stack

Tools & technologies

CloudPythonShell Scripting

About the role

Key responsibilities & impact

Design and implement data analysis processes to derive actionable insights
Build statistical models and analyze large datasets
Present findings to stakeholders
Collaborate with other data professionals to solve complex problems and improve business outcomes
Develop generative conversational agents and agent components
Deploy webhook integrations and backend APIs on Google Cloud Functions or Cloud Run
Design and register API tools for LLMs
Create automated agent evaluations and simulation tests
Track and optimize agent performance metrics for voice interactions
Use LLM-assisted development workflows for agent scaffolding and debugging

Requirements

What you’ll need

Bachelor's/Master's in Engineering
2–5 years of experience
Advanced Python programming using object-oriented programming, modern type hinting, and asynchronous patterns
Familiarity with uv, virtual environments (.venv), and pip
Command-line and shell scripting proficiency
Knowledge of generative agent design and goal-oriented architectures
Prompt engineering and conversational context management
Understanding of Dialogflow CX
Experience deploying components, webhook integrations, or backend APIs using Google Cloud Functions or Cloud Run
Proficiency with gcloud CLI and application-default credentials
Experience designing and registering external APIs/tools for LLM function calling
Data handling, pagination, API response flattening, and Protocol Buffers parsing
Experience creating automated agent evaluations, Golden tests, and simulation runs
Ability to extract, analyze, and optimize agent performance metrics, including real-time latency
Experience with LLM-assisted development tools such as Gemini CLI or Claude Code