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At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 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.
Job Responsibility:
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.
Requirements:
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.
Nice to have:
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 Recall@K 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.
What we offer:
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations
Relocation within INDIA based on candidate eligibility.