BENGALURU · FULLTIME
Experienced Software Engineer-AI Application
Boeing
Bengaluru · onsite · Posted 21d ago
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Undisclosed7–12 yrsfulltimeBengaluru
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Section · 01
About this role
Position Overview
Boeing 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.
This role will be based out of Bengaluru, India.
Position Responsibilities - Design and build source-centric AI workflows that generate outputs strictly grounded in approved enterprise documentation.
- Develop retrieval-augmented generation pipelines with hybrid retrieval, metadata filtering, reranking, and citation traceability.
- Implement explainability features including provenance, citations, evidence mapping, confidence signaling, and unsupported-answer handling.
- Build multimodal document intelligence workflows for PDFs, scanned documents, tables, diagrams, images, and technical figures.
- Create human-in-the-loop review systems to approve, reject, edit, and provide structured feedback on AI-generated outputs.
- Design and maintain feedback learning loops to improve prompts, retrieval quality, evaluations, and curated fine-tuning datasets.
- Support revision-aware content intelligence, including source versioning, comparison, stale artifact detection, and downstream impact analysis.
- Develop secure, enterprise-grade, multi-tenant Azure-native applications with robust governance, auditability, and role-based access control.
- Sprint Planning: Estimate user stories and tasks accurately during Sprint Planning and contribute to Backlog refinement meetings.
- Collaboration: Work closely with the Product Owner to ensure code and acceptance tests meet desired functionality; raise impediments and risks to relevant stakeholders.
- Customer Engagement: Maintain relationships with customers and partners, demonstrating excellent communication and presentation skills.
- Agile Environment: Exhibit a strong ability to work in an Agile environment, with some travel required.
- Mentorship: Mentor junior team members and support the development of internal competencies, acting as a sought-after expert.
Employers will not sponsor applicants for employment visa status.
Basic Qualifications (Required Skills/Experience): - Bachelor 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.
- Proven experience in Python programing language
- Proven 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.
- Experience designing human feedback loops for AI systems, including review workflows, feedback capture, and iterative prompt or model improvement.
- Experience building and maintaining evaluation frameworks for LLM applications, including retrieval relevance, grounded Ness, hallucination detection, and regression testing.
- Strong experience with PostgreSQL and metadata-rich schema design for AI applications.
- Experience with Microsoft Entra ID, enterprise RBAC, and secure multi-tenant application design.
- Hands-on experience with hybrid retrieval architectures vector and keyword search, metadata filtering and familiarity with Azure AI Search or equivalent platforms.
- Experience designing human feedback loops for AI systems and maintaining evaluation frameworks for LLM applications, including aspects like retrieval relevance and hallucination detection.
- Strong experience with PostgreSQL and designing metadata-rich schemas for AI applications.
- Experience in implementing citation-aware user experiences, evidence panels, and document-grounded conversational interfaces, along with building review and approval workflows for generated artifacts.
- Proficiency with multimodal LLMs for reasoning involving images, diagrams, and tables, as well as experience in fine-tuning and preference optimization for enterprise AI tasks.
- Knowledge of AI observability and tracing tools, LLM safety engineering, refusal design, and confidence calibration, along with familiarity with evaluation metrics like REMAIL_ADDRESS and citation accuracy.
- Experience in setting up CI/CD pipelines that accommodate both traditional application code and AI lifecycle needs, including prompt/config versioning and evaluation gates.
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Section · 02
Skills
conducting interviewsCustomer EngagementAgileCI/CD PipelinesApplication DesignAdditive Manufacturingbacklog refinementExportAzure AiAerospaceDownstreamChemistryDigital SolutionsadditivecloudMicrosoft AzureData ScienceArtificial Intelligence
Section · Company
About Boeing
Boeing
Aviation
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110 years old
Arlington, VA
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Boeing is a prominent aerospace company that prioritizes innovation, equity, diversity, and inclusion while expanding its operations globally.
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