Entry Level Applied AI Engineer Jobs
New grad applied ai engineer jobs are open to recent graduates and entry level candidates with little to no experience, where a strong portfolio or internship project can outweigh a long resume at this stage. Most openings are on-site roles across Technology & Software, Insurance, and Artificial Intelligence, with employers like Distyl, GEICO, and Amazon Web Services hiring at this level now.
Find JobsOverview
Showing 5 of 60+ Entry Level Applied AI Engineer jobs
Blossom Health exists to solve the mental health epidemic in America by partnering with psychiatrists to expand access to affordable, timely, clinically-effective mental healthcare. Our AI-native care platform is loved by hundreds of clinicians and thousands of patients.
We’re a Series A company with $20M+ raised from Headline, Village Global, and the founders of General Catalyst, Flatiron Health, Sword Health, Grow Therapy, Fay, Elemy, Zip, Blank Street, Assured, Bridge, Birches Health, and Enzo Health.
Why you should work here:
Hyper-growth environment: Get firsthand exposure to how a startup scales from 0 1 n, with visibility across product, engineering, and operations
High trust and autonomy: You’ll own meaningful projects from day one and shape both technical decisions and product direction. We trust engineers to figure out the best path forward - without micromanagement.
Talent-dense team: Work with a top-percentile team built on mutual respect and admiration, with shared goals, motivations, and vision for the future.
Real impact: Your code will directly improve access to mental health care for thousands of patients and clinicians
What we're looking for:
Highly motivated, ambitious, and capable - looking to tackle a large, meaningful problem area
Ownership mindset - thinking for the long-term and placing the business and our customers first
High velocity and high excellence - have a real sense of urgency to move quickly and take pride in the quality of your work
An explorer - comfortable with ambiguity and autonomy, seeking to answer questions previously unasked, to leap into the unknown
An optimist - you believe in a tomorrow better than today
A builder - you take joy in bringing new creation to the world, in leveraging technology to make useful things
Humble - you use your gifts in the service of others and understand that success is an output, not an input
What you'll do:
Design and build scalable, reliable systems powering core product workflows
Ship high-quality code that balances speed and technical rigor
Proactively identifying and resolving system reliability risks, owning uptime, observability, and performance as first-class engineering concerns
Leverage cutting-edge AI to create intuitive and novel clinician and patient experiences
Conduct thoughtful code reviews and provide technical mentorship, raising the bar for engineering excellence across the team and beyond
You'll thrive here if you:
Have a bachelor's degree or equivalent experience in Computer Science or related field
Have 2+ years of professional working experience outperforming in high-quality environments
Excel at building production systems end-to-end with minimal oversight
Are fluent in TypeScript and/or Python (experience with LLM-powered apps preferred)
Are comfortable with traversing the software stack and picking up the latest technologies to drive technical outcomes
Love autonomy, ambiguity, and ownership
Are authorized to work in the U.S. and excited to be in-person in NYC 5 days a week
Benefits:
Competitive salary, equity, growth opportunities
Best-in-class health, dental, and vision insurance
A focus on outcomes, not hours, with unlimited PTO
Team outings, offsites, and a sunny NYC office stocked with snacks
Compensation Range: $150K - $220K
See All 60 Entry Level Applied AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsEntry Level Applied AI Engineer Job Market
Who's Hiring
- Distyl11

- GEICO5
- Amazon Web Services4
- Ramp3
- Baseten3

Top Industries Hiring
- Technology & Software33
- Insurance5
- Artificial Intelligence4
- Distribution & Wholesale4
- Science & Research3
Entry Level Applied AI Engineer Jobs: Frequently Asked Questions
How do I get an entry level applied ai engineer job?
Employers hiring at the entry level look for hands-on evidence of applied skills over credentials alone. A portfolio of projects using large language models, computer vision pipelines, or model deployment work gives you a concrete edge. Coursework in machine learning, proficiency in Python and common ML frameworks, and any internship or capstone experience building production-ready AI tools all strengthen your application significantly at this stage.
Which companies hire entry level applied ai engineers?
Companies hiring entry level applied ai engineers right now include Distyl, GEICO, and Amazon Web Services, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a mix of AI-native startups, technology consultancies, and large enterprises building or expanding internal AI teams.
Are there remote entry level applied ai engineer jobs?
Yes, though most entry level roles still favor in-person or hybrid arrangements. About 50% of entry level applied ai engineer openings are remote or hybrid as of July 2026, so candidates open to on-site work will find a wider pool of opportunities at this stage.
Are these new grad applied ai engineer jobs?
Yes, these listings include new grad, recent graduate, and junior applied ai engineer roles. A posting is new-grad friendly when it welcomes zero to two years of experience, treats internships or academic projects as qualifying background, or accepts a strong portfolio in place of full-time professional history. Searching for junior or recent graduate roles surfaces the same pool.
Which industries hire the most entry level applied ai engineers?
Entry Level applied ai engineer roles concentrate in Technology & Software, Insurance, and Artificial Intelligence, based on current listings on Migrate Mate as of July 2026. These sectors are investing heavily in building and integrating AI systems, which creates steady demand for engineers who can work on model development, evaluation, and deployment from an early career stage.