EXL

Analyzes business data and runs outsourced operations

CX Developer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

Proficiency in Python, including object-oriented programming, modern type hinting, and asynchronous patterns.
Familiarity with modern Python package managers such as uv, virtual environments (.venv), and pip.
Ability to navigate command-line interface tools and use general shell scripting.
Understanding generative, goal-oriented agent architectures, including Apps, Agents, Sub-agents, and Sessions within CX Agent Studio.
Ability to write system instructions, manage conversational memory, and optimize large language model context windows for voice interactions.
Understanding the underlying mechanics of Dialogflow CX.
Ability to deploy agent components, webhook integrations, or backend application programming interfaces using Google Cloud Functions or Cloud Run.
Proficiency with gcloud command-line interface for project configuration and authenticating environments through application-default credentials.
Ability to design and register external APIs as tools that a large language model can invoke to retrieve data, execute backend tasks, or interact with external services.
Ability to use utility functions to handle pagination, flatten API responses, and convert complex Protocol Buffers into usable data.
Ability to create and orchestrate Golden tests and automated simulation runs using SCRAPI’s evals module.
Ability to extract, analyze, and optimize agent performance metrics, including real-time latency for voice interactions.
Ability to use large-language-model-assisted development tools such as Gemini CLI or Claude Code within the SCRAPI workflow for agent scaffolding and debugging.
Bachelor's or Master's degree in Engineering.
2–5 years of experience.

Responsibilities

Design and implement data analysis processes to derive actionable insights.
Build statistical models, analyze large datasets, and present findings to stakeholders.
Collaborate with other data professionals to solve complex problems and improve business outcomes.
Design generative agent architectures, implement API integrations and tools, evaluate agents, and track and optimize agent performance as described in the posting.

Data Scientists design and implement data analysis processes to derive actionable insights. Duties include building statistical models, analyzing large datasets, and presenting findings to stakeholders. You will collaborate with other data professionals to solve complex problems and improve business outcomes. Proficiency in data science tools and techniques is essential.

Bachelor's/Master's in Engineering 2-5 years

List of Skills

Python

Python Programming (Advanced): SCRAPI is a Python-based API. You must be proficient in Python, utilizing object-oriented programming, modern type hinting, and asynchronous patterns.
Environment & Dependency Management: Familiarity with modern Python package managers like uv, virtual environments (.venv), and pip.
Command Line Interface (CLI) Proficiency: Ability to navigate CLI tools, as well as general shell scripting

Conversational AI / Agent Architecture

Generative Agent Design: Shifting from legacy intent-based state machines to generative, goal-oriented architectures (understanding Apps, Agents, Sub-agents, and Sessions within CX Agent Studio).
Prompt Engineering & Context Management: Writing robust system instructions, managing conversational memory, and optimizing LLM context windows for voice interactions.
Dialogflow CX Fundamentals: Understanding the underlying mechanics of Dialogflow CX,

Google Cloud Platform(GCP)

Cloud Compute & Serverless: Deploying agent components, webhook integrations, or backend APIs using Google Cloud Functions or Cloud Run.
gcloud CLI Mastery: Utilizing gcloud for project configuration and authenticating environments via application-default credentials.

API Integration & Tool Building

Tool Calling / Function Calling: Designing and registering external APIs ("Tools") that the LLM can invoke to retrieve data, execute backend tasks, or interact with external services.
Data Handling & Payload Parsing: Using utility functions to handle pagination, flatten API responses, and convert complex Protocol Buffers (Protos) into usable data.

Testing, Evaluation & CI/CD

Automated Agent Evaluation (Evals): Creating and orchestrating "Golden tests" and automated simulation runs using SCRAPI’s evals module.
Performance Metrics Tracking: Extracting, analyzing, and optimizing agent performance metrics (like real-time latency), which is highly critical for voice voice interactions.
Agentic IDE workflows: Using LLM-assisted development tools (like Gemini CLI or Claude Code) as integrated into the SCRAPI workflow to speed up agent scaffolding and debugging.

EXL

CX Developer

About the Job

Requirements

Responsibilities

About the Company

EXL

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