Senior AI Engineer
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 160,000–190,000 1 YEAR
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Choose a country to check geographic compatibility. The source requirements are available below.
The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.
Browse jobs posted in the past 60 days →This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 160,000–190,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
Overview
We’re looking for a Senior Software Engineer with a passion for AI to join us in our mission of bringing the ION Factory OS to next-generation hardware builders around the globe. This role is based in Los Angeles, CA (HQ in El Segundo).
Are you excited by the opportunity to build AI-powered software that accelerates the development of eVTOLs, rockets, robots, and autonomous vehicles?
Responsibilities & Duties
Lead the design, implementation, and optimization of production-ready AI systems within the ION Factory OS.
Ship customer-facing features that directly impact manufacturing workflows, including AI-driven functionality (e.g., generative procedure creation, anomaly detection, recommendations) and core product features not reliant on AI.
Architect and maintain scalable software systems, including AI/ML pipelines and broader product infrastructure.
Design and implement AI features using retrieval-augmented generation (RAG) pipelines to deliver context-aware insights and recommendations.
Leverage Model Context Protocol (MCP) and similar frameworks to connect AI models seamlessly with structured/unstructured data sources and external tools.
Collaborate with product managers and customers to translate real-world challenges into robust software solutions.
Partner with data engineering to process and transform structured and unstructured manufacturing data into usable formats.
Ensure reliability, scalability, and maintainability of all systems in production, leveraging CI/CD and cloud-native workflows.
Stay ahead of advancements in software engineering and AI, bringing the best practices into shipped product features.
Mentor junior engineers and help raise the technical bar across the team.
Minimum Qualifications & Skills
7+ years of professional software engineering experience, including 3+ years shipping AI/ML-powered products into production.
Proven track record of building and shipping customer-facing applications (AI and non-AI) that deliver measurable business value.
Experience architecting scalable systems on cloud platforms (AWS, Azure, GCP).
Expertise in data modeling, preprocessing, and model evaluation at scale.
Familiarity with generative AI models (LLMs, diffusion models, GANs) and their real-world applications.
Strong knowledge of APIs and modern software design patterns for integrating AI into SaaS products.
Excellent problem-solving, communication, and cross-functional collaboration skills.
Passion for AI innovation paired with the ability to deliver non-AI product functionality when needed.
Desired Qualifications
Experience building AI systems for real-time, low-latency, or edge deployments.
Familiarity with modern data governance, privacy, and compliance standards (SOC2, GDPR, ITAR).
Hands-on experience with retrieval-augmented generation (RAG) for building AI systems that combine large language models with external knowledge sources.
Understanding of and/or experience with Model Context Protocol (MCP) or similar emerging standards for connecting AI systems with data and tools.
Customer-facing experience gathering requirements, presenting solutions, and demonstrating value.
Contributions to open-source projects or published research in applied AI/ML.
Experience mentoring engineers and contributing to engineering best practices.
Benefits & Perks
Health Insurance; medical, vision, dental, & life insurance.
Paid Parental Leave.
Employee Stock Option Plan.
Team outings, group lunches, open office, happy hours.
Paid holidays, sick days.
Flexible Friday and PTO.
401K.
First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce.
First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S.
Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location.
First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery.
Matched by role category. Review each posting’s requirements before applying.
