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Applied AI Engineer II

  • Hybrid
  • 3-6 years

Salary

$150,000 - 240,000/ year

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Description

As a the company Applied AI Engineer II, you will be tasked with building and maintaining best-of-breed products as part of a small and nimble development team. The company focuses on a strong customer engagement model and feedback process to ensure our products are designed the right way from the beginning. When new products ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input.

Essential Job Functions

Design, develop, and deploy AI Agents and machine learning models to solve complex business problems

Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability

Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows

Optimize and fine-tune models and AI Agents for performance, accuracy, and efficiency

Implement and manage CI/CD pipelines for AI model and AI Agent deployment

Monitor and troubleshoot AI systems in production, ensuring reliability and robustness

Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies

Minimum & Preferred Job Qualifications

Education

Bachelor's degree or equivalent experience

CS Degree preferred

Experience

3+ years of professional experience

Proven experience as an AI Developer, AI Engineer, or similar role

Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes

Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)

Experience with LLMs, AI Agents, and natural language processing (NLP) techniques

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies

Other

Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability

Communicates effectively, both technically and non-technically, as well as in written and oral forms

Believes in the power of and the need for writing automated tests as part of development

Skilled debugger who can put out fires under pressure when things go wrong in production environments

Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools

Detail-oriented and passionate for creating an awesome user experience

Core Competencies

The company Competencies:

Demonstrates initiative and motivation

Excellent oral and written communication skills

Team player

Person of high ethics and integrity

Ability to work in a fast-paced, changing environment

Security & Privacy Roles & Responsibilities

All roles at the company have access to the company Confidential Information, therefore, the company assigns a universal Position Risk Designation to all roles to hold everyone to the highest possible standard. All roles at the company are subject to the following requirements:

Protection of the company information and other assets

Compliance with the company policies and terms of applicable agreements with the company

Additional privacy and security-specific duties, skills and qualifications relevant to the role, if any:

About the company

The company is the Autonomous IT company. As Al accelerates both innovation and risk, the company Atlas, the company's autonomous operating system, puts the full depth of the company Autonomous IT Platform behind every IT and security operator - human and agentic. The company provides the real-time intelligence, agentic decision-making, and autonomous execution operators needed to detect, decide, and remediate at machine speed across their endpoint estate.

The company is recognized as a Leader in the inaugural 2026 Gartner Magic Quadrant for Endpoint Management Tools, as a Leader in the IDC MarketScape: Worldwide Client Endpoint Management Software for Windows Device Management 2025-2026 Vendor Assessment, and as a Leader in The Forrester Wave. Endpoint Management Platforms, Q2 2026.

To learn how the company delivers Autonomous IT for unstoppable business, visit  the company's site  and follow us on  LinkedIn  and  X .

On a mission. Together.

At the company, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.

As a global organization with stakeholders around the world, it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.

Our commitment to excellence and innovation has earned us a place on the Forbes Cloud 100 list for ten consecutive years, and we continue to be recognized worldwide as a great place to work.

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.

What you’ll get

The annual base salary range for this full-time position is $154,000 to $236,000. This range is an estimate for what the company will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

Please be aware of job offers coming from people claiming to be the company employees. The company employees will only use @the company's site email addresses to communicate with you, will have video interviews with you, and will never ask you for money.

This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Where you’d work

Part of the week in the office

About the company

Company hidden

Office in NC, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 6 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

How crowded?

6 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for NLP, which fewer than 1% of open roles doSlight evidence

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Go
  • Java
  • AWS
  • Kubernetes
  • PyTorch
  • Azure
  • CI/CD
  • LLMs
  • TensorFlow
  • NLP
Type
Full-time
Equity
Equity offered
Specialty
ML
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
3+ years
Tech stack
  • Python
  • Go
  • Java
  • AWS
  • Kubernetes
  • PyTorch
  • Azure
  • CI/CD
  • LLMs
  • TensorFlow
  • NLP

Location

Work model
Hybrid
Region
United States
Office
  • NC, United States

Compensation

Salary
$150,000 - 240,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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