Application Engineer

EXL

. Develop, test, and maintain Python-based applications and backend services .

Posted 10/9/2026full-timeIndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Python-based applications and backend services, with a strong focus on building RESTful APIs and integrating with AWS cloud services. Proficient in implementing scalable solutions, asynchronous processing, and AI-driven architectures.

Highest-signal resume keywords

Python ProgrammingAPI Development Using FastAPI, Flask, Or Django REST FrameworkAWS Cloud Services (Lambda, ECS, S3, CloudWatch)Asynchronous ProgrammingLLM-Powered Solutions Development

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Hard Skills

Python ProgrammingAPI Development Using FastAPIAPI Development Using FlaskAPI Development Using Django REST FrameworkAsynchronous ProgrammingUnit TestingCode ReviewsCI/CD PracticesMicroservices DevelopmentEvent-Driven Services

Soft Skills

Good Communication SkillsAbility To Work With Cross-Functional Teams

Tools & Technologies

AWS LambdaAWS ECSAWS S3AWS CloudWatchPandasNumPyOpenAIAzure OpenAIAnthropic ClaudeGemini

Certifications & Qualifications

Bachelor's Degree In EngineeringMaster's Degree In Engineering

Industry Keywords

CRM IntegrationsCCaaSIVRKnowledge ManagementRAG ArchitectureVector DatabasesSemantic SearchAI PlatformsAutomation ServicesWorkflow Orchestration

Tech Stack

Tools & technologies

AWSAzureCloudDjangoFlaskMicroservicesNumpyPandasPython

About the role

Key responsibilities & impact

Develop, test, and maintain Python-based applications and backend services
Build and integrate REST APIs using FastAPI, Flask, or Django REST Framework
Work with AWS services including Lambda, ECS, ECR, S3, EventBridge, CloudWatch, and Secrets Manager
Write clean, reusable, and well-tested code following coding standards and review practices
Support performance tuning, troubleshooting, logging, and monitoring of production applications
Collaborate with architects, developers, QA, and DevOps teams to deliver reliable cloud solutions
Develop scalable backend applications and microservices using Python
Build RESTful APIs and event-driven services for AI platforms
Develop integrations with CRM, CCaaS, IVR, Knowledge Management, and enterprise systems
Implement asynchronous processing, workflow orchestration, and automation services
Design and implement LLM-powered solutions
Develop RAG architecture and enterprise knowledge assistants
Integrate vector databases and semantic search capabilities
Build AI agents capable of tool usage, workflow execution, and decision-making
Optimize prompts, grounding strategies, and response quality

Requirements

What you’ll need

Bachelor's/Master's in Engineering
8–10 years of overall software development experience
Strong hands-on experience in Python programming
Good understanding of object-oriented programming and basic design principles
Experience with API development using FastAPI, Flask, or Django REST Framework
Working knowledge of asynchronous programming, threading, or multiprocessing
Experience with AWS cloud services, especially Lambda, ECS, S3, CloudWatch, EventBridge, and Secrets Manager
Knowledge of code quality tools such as pylint, mypy, pytest, and Git/Bitbucket
Experience developing scalable backend applications and microservices using Python
Experience building RESTful APIs and event-driven services for AI platforms
Experience developing integrations with CRM, CCaaS, IVR, Knowledge Management, and enterprise systems
Experience implementing asynchronous processing, workflow orchestration, and automation services
Experience with unit testing, code reviews, and CI/CD practices
Experience designing and implementing LLM-powered solutions using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar models
Experience developing RAG architecture and enterprise knowledge assistants
Experience integrating vector databases and semantic search capabilities
Experience building AI agents capable of tool usage, workflow execution, and decision-making
Experience optimizing prompts, grounding strategies, and response quality
Good communication skills and ability to work with cross-functional teams
Familiarity with Pandas and NumPy is preferred
Exposure to Amazon Bedrock, Amazon Lex, or GenAI-based application development is nice to have
Experience with API gateways such as Apigee is nice to have
Experience with containerized applications using ECS and ECR is nice to have

Benefits

Comp & perks

Hybrid work arrangement
Full-time employment