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Experienced Software Engineer–AI Application

Boeing·Salary not specified

Primary stack

PythonPostgreSQLAIAzure

Nice to have's

multimodal LLMscitation-aware user experiencesAI observabilityCI/CD pipelines

Job description

About the Position

Bring your ideas to life at Boeing, where 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.

Responsibilities

  • Design and build source-centric AI workflows 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 programming 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.

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.

About the Company

As 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.

Application Details

  • Location: Bengaluru, India
  • Job ID: JR2026506524
  • Category: Engineering - Software
  • Role Type: Onsite
  • Post Date: Oct. 09, 2026
  • Application Deadline: Oct. 14, 2026
  • Relocation: Available within India
  • Visa Sponsorship: Not provided

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