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Rapid Engineering Jobs (NOW HIRING)

AI Fund

AI Engineer

Mountain View, CA · On-site

... • Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility • Apply GenAI ...

Flyttr

Engineering & Rapid Prototyping

San Antonio, TX · On-site

Join Us in Texas -- Build the Future of Sustainable Biotechnology Engineering & Rapid Prototyping Roles | New US Manufacturing Facility | Mission-Driven Science Are you a hands-on engineer who loves ...

KRUSH Tech Inc

Lead UAS Systems Engineer

Austin, TX · On-site

$101K - $133K/yr

Lead a multidisciplinary engineering team of approximately 10-30 engineers. * Drive rapid prototyping, system optimization, and data-driven performance improvements across airframe, propulsion ...

Flyttr

Engineering & Rapid Prototyping

San Antonio, TX · On-site

Join Us in Texas - Build the Future of Sustainable Biotechnology Engineering & Rapid Prototyping Roles | New US Manufacturing Facility | Mission-Driven Science Are you a hands-on engineer who loves ...

KLA

Sr. Mechanical Engineer

Milpitas, CA · On-site

$119K - $157K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

KLA Corporation

Sr. Mechanical Engineer

Milpitas, CA · On-site

$121K - $160K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

Orbotech

Sr. Mechanical Engineer

Milpitas, CA · On-site

$121K - $160K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

KLA Corporation

Sr. Mechanical Engineer

Milpitas, CA

$121K - $160K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

Orbotech

Sr. Mechanical Engineer

Milpitas, CA · On-site

$121K - $160K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

KLA Corporation

Sr. Mechanical Engineer

Milpitas, CA · On-site

$121K - $160K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

KLA

Sr. Mechanical Engineer

Milpitas, CA · On-site

$119K - $157K/yr

... our RAPID engineering team, supporting the development of next-generation semiconductor capital equipment. This role requires a strong technical foundation combined with an ownership mindset-from ...

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Rapid Engineering information

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How much do rapid engineering jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for rapid engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What is rapid engineering?

Rapid Engineering refers to a set of practices and methodologies aimed at accelerating the design, development, and deployment of engineering projects, often through the use of advanced tools like 3D printing, simulation software, and agile project management. This approach allows teams to quickly prototype, test, and iterate solutions, reducing the time needed to bring products or systems to market. Rapid Engineering is commonly used in industries such as manufacturing, automotive, and technology where speed and adaptability are crucial. The goal is to enhance innovation while maintaining quality and efficiency throughout the development process.

What are common challenges faced by engineers in a rapid engineering environment, and how can they be managed?

Engineers working in rapid engineering environments often face tight deadlines, shifting project priorities, and the need to quickly adapt to new technologies or requirements. Managing these challenges involves strong time management, clear communication with cross-functional teams, and a willingness to iterate and learn from failures. Leveraging agile methodologies and frequent check-ins can help teams stay aligned and deliver high-quality results under pressure.

What are the key skills and qualifications needed to thrive as a rapid engineer, and why are they important?

To thrive as a Rapid Engineer, you need expertise in prototyping, problem-solving, and a solid background in mechanical or electrical engineering, typically supported by a relevant engineering degree. Familiarity with CAD software, rapid prototyping tools (like 3D printers and CNC machines), and possibly Lean or Six Sigma certifications is highly valuable. Strong collaboration, adaptability, and effective communication help Rapid Engineers excel in fast-paced, iterative environments. These skills and qualities are essential for driving innovation, meeting tight deadlines, and delivering high-quality solutions efficiently.

What is the difference between Rapid Engineering vs Mechanical Engineering?

AspectRapid EngineeringMechanical Engineering
Required CredentialsTypically requires a diploma or certificate in rapid prototyping, manufacturing, or related fieldsBachelor's or higher degree in mechanical engineering or related disciplines
Work EnvironmentFast-paced, focused on quick prototyping, manufacturing, and iterative designDesign, analysis, and development in various industries, often in offices or labs
Industry UsageCommon in manufacturing, product development, and rapid prototyping firmsWidespread across automotive, aerospace, industrial design, and more

Rapid Engineering focuses on quick turnaround prototyping and manufacturing processes, often requiring specialized certifications. Mechanical Engineering involves comprehensive design, analysis, and development work, typically requiring a degree. While both roles are integral to product development, Rapid Engineering emphasizes speed and agility, whereas Mechanical Engineering emphasizes detailed design and analysis.

What is the easiest rapid engineering job to get into?

Entry-level rapid engineering roles often require basic knowledge of engineering principles, CAD software, and problem-solving skills. Positions such as junior design engineer or prototype technician typically have lower experience requirements and may accept candidates with relevant certifications or technical training. Gaining hands-on experience through internships or technical courses can improve chances of entry.

What skills are needed for rapid engineering?

Rapid engineering requires strong problem-solving skills, proficiency in engineering design and development, and the ability to work efficiently under tight deadlines. Knowledge of CAD software, project management, and teamwork are also important for success in this fast-paced environment.
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Rapid Engineering jobs near you
Infographic showing various Rapid Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,624 per year, or $31.6 per hour.

AI Engineer

AI Fund

Mountain View, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
AI Fund is an education technology company focused on empowering the global workforce to build an AI-powered future. They are looking for an AI Engineer to work in their Learning Experience Lab, where the role involves developing new AI products and features to enhance educational experiences.
Responsibilities:
• Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.
• Work with a small team to quickly iterate and ship new products and features.
• Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
• Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.
• Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.
• Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.
Qualifications:
Required:
• Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.
• The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.
• Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.
• Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.
• Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.
• Excellent communicator and team player with strong English language skills if not a native speaker yourself.
Preferred:
• Background or expertise in education and / or development of educational technology.
• Experience in product management, user testing, and rapid iteration.
Company:
AI Fund is a venture studio that co-founds AI companies alongside founders, VCs, and corporate partners. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.

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