{"id":2225731,"url":"https://alion.io/job/exl-application-engineer-5","title":"Application Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":67,"ghost_share":0,"stale_share":0.94,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Django REST Framework","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Mypy","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"pylint","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"Django","optional":true}],"status":"live","first_seen_at":"2026-10-09T13:34:29Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-15T08:07:05Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"JOB DESCRIPTION\nPython Developer - AWS Cloud\nRole: Python Developer with AWS Cloud Experience\nExperience: 8-10 years\nWe are looking for an experienced Python Developer who can build scalable backend services, APIs, and cloud-based applications on AWS. The ideal candidate should have strong Python programming skills, hands-on experience with web frameworks, and working knowledge of AWS services used in modern application development.\nKEY RESPONSIBILITIES\n\n Develop, test, and maintain Python-based applications and backend services.\n\n Build and integrate REST APIs using frameworks such as FastAPI, Flask, or Django REST Framework.\n\n Work with AWS services such as Lambda, ECS, ECR, S3, EventBridge, CloudWatch, and Secrets Manager.\n\n Write clean, reusable, and well-tested code following coding standards and review practices.\n\n Support performance tuning, troubleshooting, logging, and monitoring of production applications.\n\n Collaborate with architects, developers, QA, and DevOps teams to deliver reliable cloud solutions.\nREQUIRED SKILLS\nStrong hands-on experience in Python programming.\nGood understanding of object-oriented programming and basic design principles.\nExperience with API development using FastAPI, Flask, or Django REST Framework.\nWorking knowledge of asynchronous programming, threading, or multiprocessing.\nExperience with AWS cloud services, especially Lambda, ECS, S3, CloudWatch, EventBridge, and Secrets Manager.\nFamiliarity with Pandas and NumPy is preferred for data processing use cases.\nKnowledge of code quality tools such as pylint, mypy, pytest, and Git/Bitbucket.\nDevelop scalable backend applications and microservices using Python.\nBuild RESTful APIs and event-driven services for AI platforms.\nDevelop integrations with CRM, CCaaS, IVR, Knowledge Management, and enterprise systems.\nImplement asynchronous processing, workflow orchestration, and automation services.\nEnsure high-quality code through unit testing, code reviews, and CI/CD practices.\nGenerative AI & Agentic AI\nDesign and implement LLM-powered solutions using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar models.\nDevelop RAG (Retrieval Augmented Generation) architecture and enterprise knowledge assistants.\nIntegrate vector databases and semantic search capabilities.\nBuild AI agents capable of tool usage, workflow execution, and decision-making.\nOptimize prompts, grounding strategies, and response quality.\nNICE TO HAVE\n\n Exposure to Amazon Bedrock, Amazon Lex, or GenAI-based application development.\n\n Experience with API gateways such as Apigee.\n\n Experience working with containerized applications using ECS and ECR.\nHR SCREENING CHECKLIST\n\n 8-10 years of overall software development experience.\n\n Strong Python backend development experience.\n\n Hands-on experience with at least one Python web framework such as FastAPI, Flask, or Django REST Framework.\n\n Practical AWS experience, preferably with Lambda, ECS, S3, CloudWatch, and Secrets Manager.\n\n Good communication skills and ability to work with cross-functional teams.\n JOB DESCRIPTION\nPython Developer - AWS Cloud\nRole: Python Developer with AWS Cloud Experience\nExperience: 8-10 years\nROLE SUMMARY\nWe are looking for an experienced Python Developer who can build scalable backend services, APIs, and cloud-based applications on AWS. The ideal candidate should have strong Python programming skills, hands-on experience with web frameworks, and working knowledge of AWS services used in modern application development.\nKEY RESPONSIBILITIES\n\n Develop, test, and maintain Python-based applications and backend services.\n\n Build and integrate REST APIs using frameworks such as FastAPI, Flask, or Django REST Framework.\n\n Work with AWS services such as Lambda, ECS, ECR, S3, EventBridge, CloudWatch, and Secrets Manager.\n\n Write clean, reusable, and well-tested code following coding standards and review practices.\n\n Support performance tuning, troubleshooting, logging, and monitoring of production applications.\n\n Collaborate with architects, developers, QA, and DevOps teams to deliver reliable cloud solutions.\nREQUIRED SKILLS\nStrong hands-on experience in Python programming.\nGood understanding of object-oriented programming and basic design principles.\nExperience with API development using FastAPI, Flask, or Django REST Framework.\nWorking knowledge of asynchronous programming, threading, or multiprocessing.\nExperience with AWS cloud services, especially Lambda, ECS, S3, CloudWatch, EventBridge, and Secrets Manager.\nFamiliarity with Pandas and NumPy is preferred for data processing use cases.\nKnowledge of code quality tools such as pylint, mypy, pytest, and Git/Bitbucket.\nDevelop scalable backend applications and microservices using Python.\nBuild RESTful APIs and event-driven services for AI platforms.\nDevelop integrations with CRM, CCaaS, IVR, Knowledge Management, and enterprise systems.\nImplement asynchronous processing, workflow orchestration, and automation services.\nEnsure high-quality code through unit testing, code reviews, and CI/CD practices.\nGenerative AI & Agentic AI\nDesign and implement LLM-powered solutions using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar models.\nDevelop RAG (Retrieval Augmented Generation) architecture and enterprise knowledge assistants.\nIntegrate vector databases and semantic search capabilities.\nBuild AI agents capable of tool usage, workflow execution, and decision-making.\nOptimize prompts, grounding strategies, and response quality.\nNICE TO HAVE\n\n Exposure to Amazon Bedrock, Amazon Lex, or GenAI-based application development.\n\n Experience with API gateways such as Apigee.\n\n Experience working with containerized applications using ECS and ECR.\nHR SCREENING CHECKLIST\n\n 8-10 years of overall software development experience.\n\n Strong Python backend development experience.\n\n Hands-on experience with at least one Python web framework such as FastAPI, Flask, or Django REST Framework.\n\n Practical AWS experience, preferably with Lambda, ECS, S3, CloudWatch, and Secrets Manager.\n\n Good communication skills and ability to work with cross-functional teams.\n Bachelor's/Master's in Engineering 2-5 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