{"id":3160568,"url":"https://alion.io/job/beghou-consulting-ai-engineer","title":"AI Engineer","company":{"id":3752,"name":"Beghou Consulting","domain":"beghouconsulting.com","url":"https://alion.io/company/beghou-consulting","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":94,"open_postings":38,"ghost_share":0,"stale_share":0.053,"repost_share":0,"time_to_fill_p50_days":109,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Hyderabad, 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for document understanding, structured extraction, and review workflows.\nDevelop reliable pipelines that combine language models with application logic, validation, and human review.\nDesign evaluations using representative examples, labeled data, and clear quality measures.\nImprove output quality through prompting, retrieval, model selection, and structured generation.\nBuild safeguards for uncertain, incomplete, or conflicting inputs.\nPartner with product, design, and domain experts to turn workflow needs into useful AI capabilities.\nWork with engineers to integrate AI services into APIs, background jobs, and customer-facing applications.\nMonitor quality, latency, and cost in production, and use the results to guide improvements.\nDocument system behavior, limitations, and operational considerations.\nWhat you’ll bring\n5-8 years of engineering experience, including hands-on work building and shipping applied AI or machine learning products.\nExperience using language models for practical product workflows.\nStrong Python skills and experience building production services or data pipelines.\nExperience evaluating model outputs with measurable criteria, not just anecdotal review.\nFamiliarity with structured outputs, tool use, retrieval, and validation techniques.\nGood judgment about model uncertainty and when a workflow should require human review.\nAbility to work with ambiguous problems and explain technical trade-offs clearly.\nStrong software engineering fundamentals, including testing, observability, and maintainable design.\nHelpful experience\nDocument AI, information extraction, OCR, or converting unstructured business documents into structured data.\nLLM evaluation, dataset curation, human-in-the-loop systems, and regression testing.\nFastAPI, PostgreSQL, cloud infrastructure, and background processing.\nFamiliarity with privacy, data handling, and production monitoring for AI 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