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New Grad Ai Software Engineer Jobs in Arizona (NOW HIRING)

Job Position: - Senior Software Engineer Job Location: - Phoenix AZ (100% onsite) Job Type ... AI / Conversational Platform Exposure: * Good understanding of Google Dialog flow CX or similar ...

Software Engineer

Phoenix, AZ · On-site

$53 - $57/hr

Software Engineer - Full Stack .NET Developer We are not accepting C2C or 1099 arrangements ... Familiarity with AI technologies and emerging AI-driven application solutions. * Experience with ...

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

AI Responsibilities: * Bachelor's degree in Computer Science, Information Systems, Engineering, or ... Researches and implements new technologies to enhance current processes, security, and performance

Gen AI Engineer II

Phoenix, AZ · On-site

$97K - $133K/yr

We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative ... Evaluate and implement new AI technologies and tools to continuously improve development workflows.

Software Engineer

Tucson, AZ · On-site

$100K - $125K/yr

ONDS) is building a new kind of intelligence company, one designed for a world where speed ... By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ...

Software Engineer

Tucson, AZ · On-site

$100K - $125K/yr

ONDS) is building a new kind of intelligence company, one designed for a world where speed ... By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ...

ONDS) is building a new kind of intelligence company, one designed for a world where speed ... By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ...

Software Engineer

Tucson, AZ · On-site

$100K - $125K/yr

ONDS) is building a new kind of intelligence company, one designed for a world where speed ... By combining multi-domain platforms, advanced sensing, secure networks, and AI-enabled analytics ...

... to provide new features and capabilities • Develop and maintain standards-compliant and ... ONDS), we are building the future of intelligence as a connected, AI-enabled ecosystem where ...

Senior Software Engineer

Tucson, AZ · On-site

$115K - $152K/yr

* Architect and lead development of agentic AI systems for scientific research, including multi-agent ... Establish and maintain industry-grade software engineering practice across the research group ...

The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI ... * 3+ years of professional software engineering experience * Proficiency in at least one ...

Senior Software Engineer

Tucson, AZ · On-site

$117K - $153K/yr

Senior Software Engineer Posting Number req26695 Department Pharmacy Practice and Science ... Architect and lead development of agentic AI systems for scientific research, including multi-agent ...

Showing results 41-60

New Grad Ai Software Engineer information

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.

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 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 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 cities in Arizona are hiring for New Grad Ai Software Engineer jobs? Cities in Arizona with the most New Grad Ai Software Engineer job openings:

Forward Deployed Engineer (FDE) - Customer Facing Software & AI

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 4 days ago


Job description


Job Title: Forward Deployed Engineer (FDE) - Customer Facing Software & AI
About the Role
Are you a hands-on Software Engineer who loves solving complex problems and delivering measurable impacts for clients? As a Forward Deployed Engineer (FDE), you'll work directly with strategic customers to design, build, and deploy innovative software and AI solutions. You will act as the technical face of our company, bridging the gap between deep technical engineering and customer-centric business value.
What You'll Do
  • Solution Architecture: Lead architecture and design decisions for end-to-end solutions spanning backend, frontend, data pipelines, and AI/ML models.
  • Production Engineering: Develop production-grade applications that transform data into actionable insights for enterprise users.
  • Client Engagement: Collaborate closely with client teams-from Engineers to Executives-to deeply understand their unique business challenges.
  • Framework & Collaboration: Partner with internal teams to ensure seamless solution delivery while contributing to reusable frameworks and best engineering practices.
What We're Looking For
  • Full-Stack Engineering: Strong software engineering skills across backend, frontend, and system integration.
  • Technical Stack: Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
  • AI & Data Experience: Experience designing, building, and deploying production applications with data and AI/ML components.
  • Modern Tooling: Familiarity with integrating AI APIs and leveraging AI-assisted development tools.
  • Client-Facing Impact: Proven ability to deliver technical solutions that drive measurable outcomes for enterprise clients.
  • Communication: Excellent communication skills and the ability to engage confidently with diverse stakeholders.
  • Mindset: Extreme curiosity, adaptability, and a genuine passion for learning new technologies.