{"id":2575691,"url":"https://alion.io/job/exl-junior-ai-engineer","title":"Junior AI 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":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":217000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":348},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"Linux","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-14T21:22:29Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-17T15:46:53Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"You will build and test AI agents and workflows that support human experts rather than replace their judgment. This is a hands-on role. You will prototype quickly, learn from experienced colleagues, and grow into owning larger parts of our solutions.\n Build and test AI applications that use large language models (LLMs), prompt design, and retrieval-based approaches.\n\nWrite clean, well-documented Python code for AI workflows, including connections to other systems through APIs.\n\nHelp build AI agents and multi-step workflows that use tools and follow decision paths.\n\nTest model outputs for accuracy, consistency, and clarity, and report issues with clear notes.\n\nPrepare and work with healthcare data such as policies, claims, and clinical content for AI use.\n\nHandle sensitive health data (personal and health information) carefully, following company and client privacy rules.\n\nWork with product owners, clinical experts, and senior engineers to turn business needs into working solutions.\n\nDocument experiments, designs, and results so others can reuse them.\n\nShare progress and blockers with your manager on a regular basis.\n\nKeep learning about new AI tools and methods.\n\n Education\nBachelor’s degree in engineering, computer science, data science, AI, or a related technical field.\nExperience and Skills\nGood Python skills.\n\nBasic understanding of machine learning and how large language models work.\n\nHands-on AI project experience (work, internship, academic, or personal) that you can show through code or a demo.\n\nFamiliarity with at least one LLM tool or framework, such as LangChain, LlamaIndex, or the OpenAI or Azure OpenAI APIs.\n\nComfort using Git and working in a Linux environment.\n\nClear written and spoken communication.\n\nPreferred Qualifications\nExperience with AI agent frameworks and workflow tools.\n\nExperience with a cloud platform (Azure, AWS, or Google Cloud).\n\nBasic SQL and data handling skills.\n\nExposure to healthcare data or U.S. health plan operations (preferred, not required).\n\nFamiliarity with healthcare data standards such as FHIR.\n\nInternship or 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