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Junior Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

UnitedHealth Group

Senior Software Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Drive technical excellence through code reviews, automation, DevOps best practices, performance optimization, and mentoring junior engineers * Design, develop, and deploy AI-powered solutions to ...

UnitedHealth Group

Senior Software Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Drive technical excellence through code reviews, automation, DevOps best practices, performance optimization, and mentoring junior engineers * Design, develop, and deploy AI-powered solutions to ...

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All JobsAi Engineer JobsJunior Ai Engineer JobsJunior Ai Engineer Jobs in Raleigh, NC

Junior Ai Engineer information

See Raleigh, NC salary details

$32.6K

$69.8K

$106.4K

How much do junior ai engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for junior ai engineer in Raleigh, NC is $69,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What is a Junior AI Engineer?

A Junior AI Engineer is an entry-level professional who assists in the development and implementation of artificial intelligence models and systems. They typically work under the supervision of more experienced engineers to build, test, and deploy machine learning models, process data, and write code. Junior AI Engineers often collaborate with data scientists and software developers to integrate AI solutions into products or services. Their role is ideal for those with foundational knowledge in programming, mathematics, and machine learning concepts, looking to gain hands-on experience in the AI field.

What are the key skills and qualifications needed to thrive as a Junior AI Engineer?

To thrive as a Junior AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools such as TensorFlow, PyTorch, and version control systems like Git is typically required, along with knowledge of cloud platforms like AWS or Azure. Strong problem-solving skills, willingness to learn, and effective teamwork and communication abilities help you stand out in this collaborative, fast-evolving field. These skills ensure you can contribute to AI projects efficiently, adapt to new technologies, and work well within multidisciplinary teams.

What are some typical challenges a Junior AI Engineer might face during their first year on the job?

As a Junior AI Engineer, you may encounter challenges such as understanding complex codebases, adapting to rapidly evolving AI frameworks, and balancing the need for innovation with production-level code quality. Collaborating with data scientists, senior engineers, and product managers to align on project goals and deliverables can also be a learning curve. Additionally, managing large datasets and debugging machine learning models require strong problem-solving skills and attention to detail, but these challenges offer excellent opportunities for growth and mentorship within your team.

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

AspectJunior Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; advanced certifications
Work EnvironmentDevelopment, coding, model implementationData analysis, modeling, insights generation
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

Junior Ai Engineers focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Junior Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Ai Engineer jobs in Raleigh, NC?

The most popular types of Ai Engineer jobs in Raleigh, NC are:

What are popular job titles related to Junior Ai Engineer jobs in Raleigh, NC?

For Junior Ai Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Junior Ai Engineer jobs in Raleigh, NC look for?

The top searched job categories for Junior Ai Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Junior Ai Engineer jobs?

Cities near Raleigh, NC with the most Junior Ai Engineer job openings:

Junior Ai Engineer jobs near you
Infographic showing various Junior Ai Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $69,795 per year, or $33.6 per hour.

AI Software Developer

Raleigh, NC • On-site

EXCLUSIVE JETS LLC
See more jobs at EXCLUSIVE JETS LLCexternal

Full-time

Re-posted 6 days ago

Job description

About flyExclusive
flyExclusive is one of the fastest-growing private aviation companies in the country - and we are just getting started. We operate a modern, curated fleet and deliver a world-class experience to our customers, backed by a team that holds itself to the highest standards of safety, service, and operational excellence. From our roots in Kinston, North Carolina to our expanding Raleigh headquarters, we are building something the industry has not seen before.
Why flyExclusive?
This is not just a job - it is an opportunity to be part of something that is taking off. At flyExclusive, you will work alongside talented, driven people who care deeply about what they do and the team they do it with. You will have real responsibility, room to grow, and a front-row seat to the inner workings of a private aviation company scaling at speed.
We offer a competitive salary and benefits package - but what sets us apart is our culture. We are a crew that holds each other to high standards, has each other's backs, and takes pride in doing exceptional work every day. If you are looking for a place to punch in and punch out, this probably is not it. But if you are looking for a place to build a career you are proud of, you may have just found your runway.
Job Summary
We are seeking a Senior Software Developer with 6+ years of experience who builds and ships production software by directing AI coding agents at high velocity, and who also designs and builds machine-learning and AI models for the business. This is a hands-on engineering role on a multi-tenant, regulated SaaS platform: designing backend services and internal tools, integrating third-party systems, building and deploying models (e.g., pricing, flight-time estimation, and fleet/demand optimization), diagnosing real production issues, and shipping small, well-tested changes through CI/CD. Much of the work gets done by planning, driving, and verifying AI agents (e.g., Claude Code) to investigate, implement, test, and ship. The ideal candidate pairs strong software-engineering fundamentals and production-operations instincts with daily fluency in AI-assisted, agentic development and hands-on machine-learning experience.
Key Responsibilities
  • Design, build, test, deploy, and maintain production software and services for internal and customer-facing use cases - primarily by directing AI coding agents and verifying their output.
  • Plan and decompose work for AI coding agents, then review, correct, and integrate what they produce - treating the agent as a fast junior engineer you are accountable for, never an oracle.
  • Integrate third-party APIs and external systems (vendor data feeds, payments, messaging, mapping, and LLM/AI services) into platforms, products, and operational workflows.
  • Design, build, train, evaluate, and deploy machine-learning and AI models for business use cases (e.g., pricing, flight-time estimation, and demand/fleet optimization), and integrate them into production workflows.
  • Build and maintain scalable backend services, internal tools, data pipelines, and typed front ends.
  • Design data models, APIs, and structured, auditable workflows that AI agents can execute safely and reliably.
  • Optimize application performance across latency, cost, scalability, and reliability.
  • Direct and supervise AI coding agents to plan, implement, test, and ship production features end-to-end - reviewing and verifying AI output, not blindly trusting it.
  • Build and maintain multi-tenant backend services, internal tools, and their typed front ends (e.g., ASP.NET Core / EF Core / Azure SQL and React / TypeScript).
  • Diagnose and resolve real production issues using telemetry - application logs, metrics, and database query plans - and verify every fix on the live system.
  • Operate the cloud platform and delivery pipeline: Azure services, CI/CD, and source control, shipping small, well-tested changes.
  • Iterate quickly while holding a regulated, high-stakes bar - correctness, traceability, and no silent failures.
  • Continuously replace traditional engineering workflows with AI-assisted systems and help improve the agent tooling itself.
  • Collaborate with product managers, stakeholders, and engineering teams to identify high-value work and translate business needs into shipped, working software.
  • Ensure best practices in security, governance, testing, version control, traceability, and responsible AI usage.
  • Document architecture, workflows, technical decisions, and deployment standards.

Required Qualifications
  • Bachelor's degree in computer science, software engineering, or a related field - or equivalent professional experience.
  • Six plus years of professional software development experience, including senior-level ownership of features end-to-end in production.
  • Strong, current hands-on experience in C#/.NET and TypeScript/JavaScript (React) plus SQL; comfortable using Python for scripting and automation.
  • Proven track record shipping and operating production software in a cloud environment - deploys, rollbacks, monitoring, and incident response.
  • Daily, hands-on experience directing AI coding agents/assistants (e.g., Claude Code, Cursor, Copilot, Codex) to plan, implement, test, and ship real features - with the judgment to review and verify their output rather than trust it blindly.
  • Strong prompting and agent-direction skills: breaking down work, giving agents the right context, and reliably catching incorrect, unsafe, or incomplete output.
  • Hands-on experience building, training, evaluating, and deploying machine-learning / AI models in production, including comfort with the Python ML stack (e.g., scikit-learn, PyTorch, or similar) and taking models from prototype to production.
  • Solid experience with REST APIs, backend services, and cloud platforms - Azure preferred (AWS or Google Cloud acceptable).
  • Strong relational-database and SQL skills - including reading query plans and diagnosing performance - and comfort working directly in the data, not just the application code.
  • Fluency with CI/CD pipelines, Git, automated testing, and modern software-engineering practices, including verifying changes locally before they ship.
  • Ability to translate business requirements into working software, delivered with AI-assisted development.
  • Must be authorized to work lawfully in the United States without sponsorship.

Preferred Qualifications
  • Experience operating multi-tenant SaaS (e.g., database-per-tenant, per-tenant configuration, and applying migrations across many tenant databases).
  • Strong production-observability instincts - using application logs, metrics, distributed tracing, and telemetry (e.g., Azure Application Insights) to find and verify root cause on the live system.
  • Familiarity with model evaluation, monitoring, and MLOps practices that keep production models reliable over time.
  • Experience integrating LLM APIs (e.g., Anthropic Claude or Azure OpenAI) into product features, and power-user familiarity with the Claude/Anthropic API or Claude Code.
  • Knowledge of data governance, security, privacy, and responsible AI principles.

Key Skills
  • AI-assisted, agentic software development
  • Production debugging and root-cause analysis
  • Directing and verifying AI coding agents
  • Machine-learning model development and deployment
  • API development and system integration
  • Cloud architecture and deployment
  • Relational databases and SQL (performance and query plans)
  • Problem-solving and analytical thinking
  • Communication and cross-functional collaboration
  • Being a self-starter who is highly motivated with strong initiative
  • Strong ability to problem-solve under pressure daily
  • Comfort learning quickly and adapting to change

What Success Looks Like
  • Ships production-ready software quickly by directing AI agents - with correctness, traceability, and no silent failures.
  • Improves operational efficiency, decision-making, or customer experience through AI.
  • Builds reliable, secure, and scalable systems with measurable performance outcomes.
  • Serves as a strong technical contributor and thought partner across engineering and business teams.

Work Environment
  • Monday through Friday in our Raleigh office (not a remote or hybrid position)
  • Typical office and computer lab environment
  • Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

Dress Code
  • Well-groomed appearance
  • Adherence to department dress code

Travel
  • Limited travel may be required

EEO Statement
flyExclusive does not discriminate based on race, color, religion, sex (including pregnancy, sex stereotyping, gender identity, gender expression or transgender status), national origin, sexual orientation, physical or mental disability, age, protected genetic information, status as a parent, marital status, political affiliation, or retaliation based on prior protected EEO activity.

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