{"id":2165746,"url":"https://alion.io/job/boeing-experienced-software-engineer-ai-application","title":"Experienced Software Engineer–AI Application","company":{"id":3471,"name":"Boeing","domain":"boeing.com","url":"https://alion.io/company/boeing","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":133},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-10-09T09:54:37Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-10T21:55:44Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Experienced Software Engineer-AI ApplicationCompany:\nBoeing India Private LimitedOverview\nAs a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s diverse team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity.\nTechnology for today and tomorrow\nThe Boeing India Engineering & Technology Center (BIETC) is a 5500+ diverse engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.\nPeople-driven culture\nAt Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring diverse perspectives and thoughts - enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing.\nWith us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace\nPosition Overview:\nBoeing India Software Engineering team is currently looking to hire Experienced Software Engineer - AI Application to join their team in Bengaluru, India. As a Software Engineer, you will be part of the Boeing Global Services Digital Solutions team, which develops software applications and products that create direct value to its customers. We provide re-vamped work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest software technologies for modern web application development. Through our products we deliver innovative solutions to our global customer base at an accelerated pace.\nThis role will be based out of Bengaluru, India.\nPosition Responsibilities:\nDesign and build source-centric AI workflows that generate outputs strictly grounded in approved enterprise documentation.\n\nDevelop retrieval-augmented generation pipelines with hybrid retrieval, metadata filtering, reranking, and citation traceability.\n\nImplement explainability features including provenance, citations, evidence mapping, confidence signaling, and unsupported-answer handling.\n\nBuild multimodal document intelligence workflows for PDFs, scanned documents, tables, diagrams, images, and technical figures.\n\nCreate human-in-the-loop review systems to approve, reject, edit, and provide structured feedback on AI-generated outputs.\n\nDesign and maintain feedback learning loops to improve prompts, retrieval quality, evaluations, and curated fine-tuning datasets.\n\nSupport revision-aware content intelligence, including source versioning, comparison, stale artifact detection, and downstream impact analysis.\n\nDevelop secure, enterprise-grade, multi-tenant Azure-native applications with robust governance, auditability, and role-based access control.\n\nSprint Planning: Estimate user stories and tasks accurately during Sprint Planning and contribute to Backlog refinement meetings.\n\nCollaboration: Work closely with the Product Owner to ensure code and acceptance tests meet desired functionality; raise impediments and risks to relevant stakeholders.\n\nCustomer Engagement: Maintain relationships with customers and partners, demonstrating excellent communication and presentation skills.\n\nAgile Environment: Exhibit a strong ability to work in an Agile environment, with some travel required.\n\nMentorship: Mentor junior team members and support the development of internal competencies, acting as a sought-after expert.\n\nEmployers will not sponsor applicants for employment visa status.\nBasic Qualifications (Required Skills/Experience):\nBachelor degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-US equivalent qualifications directly related to the work statement.\n\nProven experience in Python programing language\n\nProven experience in building source-grounded AI applications with a focus on citation, provenance, and explainability, including multimodal AI/document intelligence pipelines for OCR and layout extraction.\n\nExperience designing human feedback loops for AI systems, including review workflows, feedback capture, and iterative prompt or model improvement.\n\nExperience building and maintaining evaluation frameworks for LLM applications, including retrieval relevance, grounded Ness, hallucination detection, and regression testing.\n\nStrong experience with PostgreSQL and metadata-rich schema design for AI applications.\n\nExperience with Microsoft Entra ID, enterprise RBAC, and secure multi-tenant application design.\n\nHands-on experience with hybrid retrieval architectures (vector and keyword search, metadata filtering) and familiarity with Azure AI Search or equivalent platforms.\n\nExperience designing human feedback loops for AI systems and maintaining evaluation frameworks for LLM applications, including aspects like retrieval relevance and hallucination detection.\n\nStrong experience with PostgreSQL and designing metadata-rich schemas for AI applications.\n\nPreferred Qualifications (Desired Skills/Experience):\nExperience in implementing citation-aware user experiences, evidence panels, and document-grounded conversational interfaces, along with building review and approval workflows for generated artifacts.\n\nProficiency with multimodal LLMs for reasoning involving images, diagrams, and tables, as well as experience in fine-tuning and preference optimization for enterprise AI tasks.\n\nKnowledge of AI observability and tracing tools, LLM safety engineering, refusal design, and confidence calibration, along with familiarity with evaluation metrics like Recall@K and citation accuracy.\n\nExperience in setting up CI/CD pipelines that accommodate both traditional application code and AI lifecycle needs, including prompt/config versioning and evaluation gates.\n\nTypical Education & Experience:\nEducation/experience typically acquired through advanced education (e.g. Bachelor) and typically 8 or more years' related work experience or an equivalent combination of education and experience (e.g. Master +7 years' related work experience.\nRelocation:\nThis position does offer relocation within INDIA.\nLanguage Requirements:\nNot ApplicableEducation:\nBachelor's Degree or EquivalentRelocation:\nThis position offers relocation based on candidate eligibility.Security Clearance:\nThis position does not require a Security Clearance.Visa Sponsorship:\nEmployer will not sponsor applicants for employment visa status.Contingent Upon Award Program\nThis position is not contingent upon program awardShift:\nNot a Shift Worker (India)","description_format":"text","description_chars":7595,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Military","Space & Aerospace"],"lifecycle":[{"event":"open","at":"2026-10-09T09:54:37Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring 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