Currently tracking 9 active AI roles, up 2453% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $95k–$235k (avg $168k).
Aerospace · Aerospace
| Title | Stage | AI score |
|---|---|---|
| Experienced Software Engineer - AI-ML (GenAI) Boeing is seeking an Experienced AI-ML Engineer (GenAI) to join their team in Bangalore. The role involves innovating, developing, and implementing next-generation AI/ML and engineering data analytics for aerospace applications. Responsibilities include developing analytics solutions for aircraft performance, operational efficiency, and engineering productivity, as well as supporting the development of future AI/ML technology directions. The role requires hands-on experience with the end-to-end ML lifecycle and building/deploying GenAI/LLM solutions. | AgentPost-train | 8 |
| Experienced AI/ML Engineer – Predictive Maintenance Boeing AI India is seeking an Experienced AI/ML Engineer for Predictive Maintenance to design and implement AI/ML solutions for aircraft prognostics and health management. The role involves developing analytics for aircraft performance, diagnostics, prognostics, operational efficiency, and simulating lifecycle scenarios. The engineer will also support future AI/ML technology development in areas like image processing, NLP, GenAI, and data analytics. |
| Agent |
| 7 |
| Associate Support Engineering Data Specialist Develops and deploys Generative AI applications and NLP-driven solutions for Boeing's eCommerce environment, focusing on improving product reliability and customer outcomes. This involves building ML and Gen AI pipelines, applying techniques like RAG and fine-tuning for intelligent search, recommendations, and content generation, while ensuring data quality, model performance, and compliance. | Agent | 7 |
| Lead Software Engineer - AI/ML Lead Software Engineer - AI/ML at Boeing India, focusing on developing and implementing next-generation AI/ML and data analytics for aerospace applications. The role involves creating solutions to improve aircraft performance, operational efficiency, and engineering productivity, with a focus on GenAI, LLMs, RAG, and fine-tuning. Responsibilities include model development, data pipelines, deployment, monitoring, and mentoring junior engineers. | AgentPost-train | 7 |