{"id":2859515,"url":"https://alion.io/job/exl-application-engineer-7","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":82,"open_postings":68,"ghost_share":0,"stale_share":0.926,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CrewAI","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Postman","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Swagger","optional":false}],"status":"live","first_seen_at":"2026-10-16T14:04:50Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-20T00:43:28Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Quality Assurance (QA) Engineer - Conversational AI & Agentic AI\nJob Overview\nWe are looking for a Quality Assurance (QA) Engineer with 3-7 years of experience in testing, QA, and reporting, specifically within the field of Conversational AI and Agentic AI systems. The ideal candidate will have a strong understanding of standard testing practices and be passionate about ensuring the highest quality standards in AI-driven applications. This role involves validating conversational experiences, AI-powered workflows, autonomous agent behaviors, integrations with external tools and APIs, and ensuring the reliability, safety, and performance of AI systems in production environments.\nKey Responsibilities\nDevelop and execute test cases, scripts, and procedures for Conversational AI and Agentic AI applications.\nCollaborate with product managers, developers, data scientists, prompt engineers, and other stakeholders to ensure quality standards are met throughout the development lifecycle.\nPerform functional, regression, integration, performance, and end-to-end testing across conversational AI platforms and agent-based AI systems.\nValidate AI agent decision-making, task execution, multi-step workflows, reasoning paths, and interactions with external tools, APIs, and knowledge sources.\nTest LLM-powered applications for accuracy, relevance, consistency, hallucinations, guardrail compliance, and response quality.\nEvaluate agent orchestration capabilities, including multi-agent collaboration, task decomposition, context management, memory retention, and tool utilization.\nIdentify, document, and track defects using JIRA and provide detailed reports on testing results.\nAnalyze requirements and design comprehensive test strategies covering conversational flows, autonomous agent behaviors, integrations, and edge-case scenarios.\nConduct prompt, response, and workflow validation to ensure optimal performance and user experience.\nPerform security, privacy, bias, and responsible AI testing to validate compliance with organizational and regulatory standards.\nGenerate test reports, dashboards, and quality metrics for stakeholders, ensuring clear and actionable insights.\nContribute to the continuous improvement of AI testing processes, frameworks, methodologies, and automation capabilities.\nRequired Qualifications\n3-7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies.\nStrong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques.\nExperience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications.\nUnderstanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI agent architectures.\nExperience with JIRA for defect tracking and project management.\nStrong proficiency in Excel for data analysis, reporting, and test metrics.\nFamiliarity with API testing tools such as Postman, Swagger, or equivalent.\nExperience in functional, integration, performance, security, and user acceptance testing.\nUnderstanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks.\nAbility to work effectively in cross-functional teams and adapt to fast-paced environments.\nStrong analytical, troubleshooting, and problem-solving skills.\nDesired Qualifications\nExperience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar platforms.\nExperience with automated testing tools and scripting languages (Python, JavaScript, etc.).\nExposure to NLP, NLU, LLM evaluation, prompt testing, and AI model validation.\nKnowledge of cloud AI platforms such as Google CCAI/Dialogflow, Azure AI, AWS Bedrock, Amazon Lex, or OpenAI-based solutions.\nFamiliarity with version control systems (Git, GitHub, Azure DevOps).\nExperience developing AI test automation frameworks and evaluation pipelines.\nUnderstanding of Responsible AI principles, AI governance, model monitoring, and risk assessment.\nPersonal Attributes\nAttention to detail and a commitment to delivering high-quality work.\nStrong communication and stakeholder management skills, both written and verbal.\nSelf-motivated with a passion for AI innovation, quality engineering, and continuous improvement.\nAbility to manage multiple priorities in a dynamic, fast-paced environment.\nCuriosity to explore emerging AI technologies and evaluate complex AI agent behaviors.\nStrong critical thinking skills with the ability to identify risks, edge cases, and quality gaps in AI systems.\nPreferred Experience Areas\nConversational AI Testing (Chatbots, Voicebots, Virtual Assistants)\nGenerative AI & LLM Testing\nAgentic AI Testing\nRAG Validation\nPrompt Testing and Optimization\nAI Safety & Responsible AI Testing\nAPI and Integration Testing\nTest Automation\nCloud-based AI Solutions\n Quality Assurance (QA) Engineer - Conversational AI & Agentic AI\nJob Overview\nWe are looking for a Quality Assurance (QA) Engineer with 3-7 years of experience in testing, QA, and reporting, specifically within the field of Conversational AI and Agentic AI systems. The ideal candidate will have a strong understanding of standard testing practices and be passionate about ensuring the highest quality standards in AI-driven applications. This role involves validating conversational experiences, AI-powered workflows, autonomous agent behaviors, integrations with external tools and APIs, and ensuring the reliability, safety, and performance of AI systems in production environments.\nKey Responsibilities\nDevelop and execute test cases, scripts, and procedures for Conversational AI and Agentic AI applications.\nCollaborate with product managers, developers, data scientists, prompt engineers, and other stakeholders to ensure quality standards are met throughout the development lifecycle.\nPerform functional, regression, integration, performance, and end-to-end testing across conversational AI platforms and agent-based AI systems.\nValidate AI agent decision-making, task execution, multi-step workflows, reasoning paths, and interactions with external tools, APIs, and knowledge sources.\nTest LLM-powered applications for accuracy, relevance, consistency, hallucinations, guardrail compliance, and response quality.\nEvaluate agent orchestration capabilities, including multi-agent collaboration, task decomposition, context management, memory retention, and tool utilization.\nIdentify, document, and track defects using JIRA and provide detailed reports on testing results.\nAnalyze requirements and design comprehensive test strategies covering conversational flows, autonomous agent behaviors, integrations, and edge-case scenarios.\nConduct prompt, response, and workflow validation to ensure optimal performance and user experience.\nPerform security, privacy, bias, and responsible AI testing to validate compliance with organizational and regulatory standards.\nGenerate test reports, dashboards, and quality metrics for stakeholders, ensuring clear and actionable insights.\nContribute to the continuous improvement of AI testing processes, frameworks, methodologies, and automation capabilities.\nRequired Qualifications\n3-7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies.\nStrong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques.\nExperience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications.\nUnderstanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI agent architectures.\nExperience with JIRA for defect tracking and project management.\nStrong proficiency in Excel for data analysis, reporting, and test metrics.\nFamiliarity with API testing tools such as Postman, Swagger, or equivalent.\nExperience in functional, integration, performance, security, and user acceptance testing.\nUnderstanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks.\nAbility to work effectively in cross-functional teams and adapt to fast-paced environments.\nStrong analytical, troubleshooting, and problem-solving skills.\nDesired Qualifications\nExperience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar platforms.\nExperience with automated testing tools and scripting languages (Python, JavaScript, etc.).\nExposure to NLP, NLU, LLM evaluation, prompt testing, and AI model validation.\nKnowledge of cloud AI platforms such as Google CCAI/Dialogflow, Azure AI, AWS Bedrock, Amazon Lex, or OpenAI-based solutions.\nFamiliarity with version control systems (Git, GitHub, Azure DevOps).\nExperience developing AI test automation frameworks and evaluation pipelines.\nUnderstanding of Responsible AI principles, AI governance, model monitoring, and risk assessment.\nPersonal Attributes\nAttention to detail and a commitment to delivering high-quality work.\nStrong communication and stakeholder management skills, both written and verbal.\nSelf-motivated with a passion for AI innovation, quality engineering, and continuous improvement.\nAbility to manage multiple priorities in a dynamic, fast-paced environment.\nCuriosity to explore emerging AI technologies and evaluate complex AI agent behaviors.\nStrong critical thinking skills with the ability to identify risks, edge cases, and quality gaps in AI systems.\nPreferred Experience Areas\nConversational AI Testing (Chatbots, Voicebots, Virtual Assistants)\nGenerative AI & LLM Testing\nAgentic AI Testing\nRAG Validation\nPrompt Testing and Optimization\nAI Safety & Responsible AI Testing\nAPI and Integration Testing\nTest Automation\nCloud-based AI Solutions\n Bachelor's/Master's in Engineering 2-5 years","description_format":"text","description_chars":9918,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-19T15:48:46Z"}],"visa":[],"liveness":{"score":73,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.809,"p_room":0.9,"age_days":3,"expected_fill_days":8,"reasons":["conf:1","win:mid","comp:brand"],"computed_at":"2026-10-20T02:33:12Z"},"pay":null,"html_url":"https://alion.io/job/exl-application-engineer-7","json_url":"https://alion.io/job/exl-application-engineer-7.json","meta":{"generated_at":"2026-10-20T02:33:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2851,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-application-engineer-7"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexl-application-engineer-7"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexl-application-engineer-7"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/exl-application-engineer-7\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-application-engineer-7"}]}