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New Grad Ai Software Engineer Jobs (NOW HIRING)

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... We build proactive, long-horizon AI agents that continuously observe work across Slack, email ...

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... We build proactive, long-horizon AI agents that continuously observe work across Slack, email ...

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... We build proactive, long-horizon AI agents that continuously observe work across Slack, email ...

Software Engineer, New Grad Location: San Francisco Company: Thorin Stage: Seed | Incubated at 8VC ... We build proactive, long-horizon AI agents that continuously observe work across Slack, email ...

Julius AI is an early stage applied AI startup focused on automating knowledge work with code. They are seeking a Software Engineer - Product (New Grad) to build intuitive user interfaces and ...

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

About FlexAI Build and Deploy AI the right way, anywhere. The FlexAI Compute Infrastructure ... Role Overview FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and ...

About FlexAI Build and Deploy AI the right way, anywhere. The FlexAI Compute Infrastructure ... Role Overview FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and ...

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

Senior Ai Software Engineer We are seeking a Senior AI Software Engineer to help build internal AI ... Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled ...

AI Software Engineer Location: US - Remote Job Type: Fulltime Project Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing ...

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New Grad Ai Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do new grad ai software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for new grad ai software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by new grad AI Software Engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.

What does a New Grad AI Software Engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

More about New Grad Ai Software Engineer jobs
What cities are hiring for New Grad Ai Software Engineer jobs? Cities with the most New Grad Ai Software Engineer job openings:
What states have the most New Grad Ai Software Engineer jobs? States with the most job openings for New Grad Ai Software Engineer jobs include:
Infographic showing various New Grad Ai Software Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer, New Grad (AI)

Software Engineer, New Grad (AI)

Notion, LLC

San Francisco, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

New Grad Ai Engineer

Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.

As an engineer at Notion, you'll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.

We're looking for a New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.

This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:

  • AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
  • Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
  • Evaluation & quality (evals): creating evaluation frameworks and automated/human-in-the-loop testing to measure and improve model and product quality

You'll partner with your team to prototype and ship an AI-powered product improvement. You'll own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability. You'll contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.

  • Pursuing a bachelor's or master's degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
  • Previous internship experience.
  • Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.

You're excited to build and iterate quickly, and you've started exploring AI/ML through coursework, projects, internships, or hackathons. You're comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.

You're curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.

You communicate clearly in writing and in meetings, and you're comfortable learning in public—sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).

You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you're mindful that features at Notion can reach millions of people.

  • You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
  • You're a builder who finds joy in building software solutions for yourself or others
  • You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
  • You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $126,000-$146,000.