7 часов назад
Senior Software Engineer (AI)
160 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building production-ready AI systems and customer-facing manufacturing software for the ION Factory OS with an accent on generative AI, RAG pipelines, MCP integrations, and scalable cloud infrastructure. Focus on architecting low-latency AI features, transforming structured and unstructured manufacturing data, and ensuring reliability across production systems.
Location: On-site in Los Angeles, California; headquarters in El Segundo, United States
Salary: $160,000–$190,000 per year, plus equity
Company
develops the ION Factory OS to accelerate the development and manufacturing of next-generation hardware, including spacecraft, electric aircraft, autonomous vehicles, nuclear reactors, and robots.
What you will do
- Lead the design, implementation, and optimization of production-ready AI systems within the ION Factory OS.
- Build and ship customer-facing AI and non-AI features that improve manufacturing workflows, including generative procedure creation, anomaly detection, and recommendations.
- Architect and maintain scalable software systems, AI/ML pipelines, and cloud-native product infrastructure.
- Develop retrieval-augmented generation pipelines and use Model Context Protocol or similar frameworks to connect AI models with data sources and external tools.
- Collaborate with product managers, customers, and data engineers to translate manufacturing challenges into robust software solutions.
- Ensure production reliability, scalability, and maintainability using CI/CD workflows, while mentoring junior engineers.
Requirements
- 7+ years of professional software engineering experience, including 3+ years shipping AI/ML-powered products to production.
- Proven experience building customer-facing applications and delivering measurable business value.
- Experience architecting scalable systems on AWS, Azure, or GCP.
- Expertise in data modeling, preprocessing, model evaluation, APIs, and modern software design patterns for SaaS products.
- Experience with generative AI models, including LLMs, diffusion models, or GANs, and their practical applications.
- Must be authorized to work in the United States; participates in E-Verify.
Nice to have
- Experience with real-time, low-latency, or edge AI deployments.
- Knowledge of data governance, privacy, and compliance standards such as SOC2, GDPR, or ITAR.
- Hands-on RAG or MCP experience, customer-facing requirements gathering, open-source contributions, or applied AI/ML research.
- Experience mentoring engineers and improving engineering practices.
Culture & Benefits
- Medical, vision, dental, and life insurance.
- Paid parental leave, holidays, sick days, flexible Fridays, and PTO.
- Employee stock option plan and 401(k).
- Team outings, group lunches, an open office, and happy hours.
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