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Startup Ai Engineer Jobs (NOW HIRING)

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... Comfort working in an early-stage startup where ambiguity is high and ownership is expected.

AI Engineer

San Francisco, CA · On-site

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... Comfort working in an early-stage startup where ambiguity is high and ownership is expected.

Applied AI Engineer Location: New York, NY (Hybrid - Wednesday Remote) Employment Type: Full ... Candidates must be comfortable operating in highly unstructured startup environments where ...

AI Engineer

New York, NY · On-site

$160K - $230K/yr

Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service ... About the Role Our team is currently seeking AI Engineers that will design, build, and deploy ...

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... Previous experience in SaaS or early-stage startup environments. What We Offer * Competitive ...

We are looking for someone who loves solving AI and systems challenges end-to-end, can move quickly in a "startup inside a larger company" environment, and enjoys upskilling other engineers along the ...

AI Engineer

New York, NY · On-site

$200K - $250K/yr

Cinder is seeking an AI/ML engineer to architect and deploy production AI systems at scale. You'll ... Experience at a high-growth startup building machine learning infrastructure from the ground up

We're a Series A startup led by two serial founders who have built and scaled creative platforms ... We are seeking a skilled AI Engineer to join our team and help develop the next generation of our ...

As a Senior AI Engineer, you'll have access to a unique data foundation and a leadership team fully ... Prior startup, growth-stage, or SaaS platform experience working in fast-paced, agile environments.

AI Engineer

OR · Remote

We are looking for someone who loves solving AI and systems challenges end‑to‑end, can move quickly in a "startup inside a larger company" environment, and enjoys upskilling other engineers along ...

We are a rare tech startup based in central south Orange Countyan area more commonly known for its ... AI Engineer to join our newly formed DOGE-X teama cutting-edge division within our Market ...

Signify Technology is a fast-scaling healthtech startup focused on reinventing musculoskeletal care through AI and 3D-printing technology. They are seeking an AI Engineer to build and scale core ...

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

Your Role As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying ... You've worked in a fast-paced startup environment and thrive in rapid iteration cycles.

Artificial Intelligence Engineer | InsurTech Startup | New York (Hybrid) We're partnering with a ... Backed by highly experienced industry leaders and investors, the company is building a modern, AI ...

New

We're looking for an AI Engineer who can build production-grade AI systems end-to-end - from prototype to pipeline to product - with the ownership and urgency of a startup culture. This is not a ...

Role Overview We're looking for Applied AI Engineers to work as forward deployed directly with ... Experience in startup or high-growth environments. What We're Looking For * A customer-obsessed ...

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing ...

Applied AI Engineer

San Francisco, CA · On-site

$200K - $325K/yr

Role Overview As an Applied AI Engineer at Serval, you'll help build the intelligence behind our ... Early-stage startup experience or a track record of zero-to-one product development. * Experience ...

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Startup Ai Engineer information

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$25

$53

$76

How much do startup ai engineer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for startup ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Startup AI Engineer, and why are they important?

To thrive as a Startup AI Engineer, you need a solid background in computer science, mathematics, and machine learning, usually supported by a relevant degree or equivalent experience. Familiarity with programming languages (such as Python), deep learning frameworks (like TensorFlow or PyTorch), and cloud platforms is crucial, as are certifications in AI or data science. Creative problem-solving, adaptability, and strong communication skills are important soft skills for collaborating in a fast-paced, evolving environment. These competencies enable rapid prototyping, innovative solution development, and effective teamwork, which are vital for success in a startup setting.

What is the difference between Startup Ai Engineer vs Data Scientist?

AspectStartup Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentFast-paced startup setting, often cross-functionalVaried environments, including corporate, research, or startups
Employer & Industry UsageTech startups, AI-focused companiesWide range of industries including tech, finance, healthcare
Common Search & Comparison IntentYesYes

The Startup Ai Engineer and Data Scientist roles share similar educational backgrounds and work environments, especially in tech-focused companies. However, Startup Ai Engineers focus more on developing AI models and integrating AI solutions into products, while Data Scientists analyze data to generate insights. Both roles are crucial in AI-driven industries, but their core responsibilities differ slightly.

What are Startup AI Engineers?

Startup AI Engineers are technology professionals who design, develop, and implement artificial intelligence solutions within startup companies. They often work in fast-paced environments, building prototypes, training machine learning models, and deploying AI-powered features to help startups gain a competitive edge. Their role can be broad, covering data analysis, algorithm development, and collaboration with cross-functional teams. Unlike traditional AI engineers, those at startups may need to wear multiple hats and adapt quickly to changing priorities. A strong foundation in programming, machine learning, and problem-solving is essential for this role.

What unique challenges can I expect when working as an AI Engineer at a startup compared to larger companies?

As an AI Engineer in a startup environment, you’ll likely face the challenge of wearing multiple hats and adapting quickly to evolving project needs. Unlike larger organizations with specialized teams, you may be responsible for the entire AI pipeline—from data collection and cleaning, to model deployment and monitoring. Resource constraints can require creative problem-solving and a hands-on approach, but this also means you’ll have greater autonomy and the chance to make a significant impact. Startups often foster close-knit, collaborative teams where your ideas can directly shape the product and business strategy.
More about Startup Ai Engineer jobs
What cities are hiring for Startup Ai Engineer jobs? Cities with the most Startup Ai Engineer job openings:
What states have the most Startup Ai Engineer jobs? States with the most job openings for Startup Ai Engineer jobs include:
What job categories do people searching Startup Ai Engineer jobs look for? The top searched job categories for Startup Ai Engineer jobs are:

$150K - $350K/yr

Other

Posted 12 days ago


Job description

About Collate
 
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development-from concept to market.
 
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
 
We're an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale.
 
 
About the Role
 
We're looking for an AI Engineer to help build and productionize the models and systems that power Collate's products. You'll work at the intersection of machine learning, software engineering, and product - turning cutting-edge research into reliable, user-facing capabilities.
 
This is an opportunity to shape how advanced AI is applied in Life sciences - a space where performance, safety, and trust matter as much as innovation. As one of the first AI-focused engineers at Collate, you'll define the standards for how we evaluate, and deploy models that directly impact drug  and medical device development.
What You'll Do
  • Prompt optimization, red-teaming, and improving robustness of LLMs for life-science NLP applications within Collate's products.
  • Build pipelines and infrastructure to deploy AI systems reliably, safely, and at scale.
  • Collaborate with product, design, and engineering teams to translate user needs into AI-driven features.
  • Develop evaluation frameworks to ensure models are accurate, fair, and trustworthy in real-world life science settings.
  • Experiment rapidly, while balancing iteration speed with the rigor required for high-stakes applications.
  • Create tools and workflows that make AI development more efficient across the team.
What We're Looking For
  • Hands-on experience building and deploying ML/AI systems in production.
  • Strong foundation in deploying search and retrieval systems and NLP applications.
  • Ability to bridge research and engineering - from prototyping models to shipping them in user-facing products.
  • Comfort working in an early-stage startup where ambiguity is high and ownership is expected.
  • Motivation to apply AI to life sciences in a way that prioritizes reliability, safety, and impact.
Why Join Collate?
 
Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
 
Ownership: Shape both our product experience and our engineering culture from the start.
 
Learning: Collaborate with a uniquely interdisciplinary team-AI researchers, healthcare leaders, and experienced startup builders.
 
Upside: Join a company early enough to have meaningful equity and career-defining impact.
 
The base salary range for this role is $150,000-$350,000 USD annually, depending on experience and level (Tier 1, San Francisco)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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