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Ai Engineer Jobs (NOW HIRING)

Collate

AI Engineer

San Francisco, CA · On-site

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 ...

LawPro.ai

AI Engineer - VA

Virginia, MN · On-site

Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Northern Base

AI Engineer

Santa Clara, CA · On-site

AI Engineer Location: Santa Clara, CA (Onsite) Employment Type: Full-Time Visa Type: Not Specified Must-Have Qualifications: * 5+ years of experience in Artificial Intelligence / Machine Learning ...

Collate

AI Engineer

San Francisco, CA · On-site

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 ...

Nashville Public Radio

AI Engineer

Manhattan, NY · On-site

We are seeking a skilled AI Engineer to design, develop, and implement artificial intelligence and machine learning solutions. You will work with technical and business teams to build intelligent ...

New

NinjaTech AI

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

The Applied AI Engineer is how a signed contract becomes a renewed and expanded one. What you'll own * Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their ...

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your ...

Bluefish AI

Staff AI Engineer

About the Position As a Staff AI Engineer, you'll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You'll own critical ...

OpTech LLC

AI Engineer

Detroit, MI · On-site

Detroit, MI Database Developers Contract We are seeking an AI Engineer in the Metro Detroit MI area. This is a hybrid role attending the office 1x/week. Under limited supervision, the AI Engineer is ...

Aptino

AI Engineer

Scottsdale, AZ · On-site

We are looking for Senior Full-Stack AI Engineers (3-5 years) with strong hands-on experience in AI/ML engineering, Python, LLMs, APIs, and agentic solutions . * Azure AI Engineer - Strong experience ...

New

LiteLLM AI Gateway

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the AI Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

Netherlands

WI · On-site

Are you a versatile AI engineer who sees technology as a means to solve real business problems--not just as an end in itself? Do you enjoy challenging assumptions, uncovering the true needs behind a ...

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

Unlearn.ai, Inc.

AI Engineer

San Francisco, CA · On-site

$114K - $157K/yr

AI Engineer. Our Science organization leads Unlearn's efforts to build new capabilities across machine learning, statistics, and AI tools that help our teams create and deliver digital twin solutions ...

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Ai Engineer information

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$39K

$101.8K

$137.5K

How much do ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.
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Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 7% Internship, 53% Full Time, and 40% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer

San Francisco, CA • On-site

Collate
See more jobs at Collateexternal

Full-time

Re-posted 12 days ago

Key responsibilities

  • Build and productionize AI models and systems that power Collate's products.

  • Develop 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.

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 depending on experience and level (Tier 1, San Francisco)

AI Engineer: $158-215K; Senior AI Engineer: $188-275K; Staff AI Engineer: $228-310K; Principal AI Engineer: $275-325K

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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