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Generative Ai Entry Level Jobs (NOW HIRING)

Tallgrass

AI System Developer I

Lakewood, CO · On-site

The AI System Developer I serves as an entry-level individual contributor responsible for ... Keep current with LLM, generative AI, and MLOps best practices; learn and apply reusable patterns ...

New

New York Life

Associate - AI Engineer

Manhattan, NY

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are ... Generative AI and Large Language Models Job Level: Pay Transparency Salary Range: $92,601 - $115 ...

Evolver

Recruiter

Palo Alto, CA · On-site

... Generative AI. By combining deep industry expertise with powerful AI-driven automation, we build ... Support full-cycle recruiting for entry-level to mid-level roles across engineering, design ...

Evolver

Recruiter

Palo Alto, CA · On-site

... Generative AI. By combining deep industry expertise with powerful AI-driven automation, we build ... Support full-cycle recruiting for entry-level to mid-level roles across engineering, design ...

Amazon

Associate Account Executive

Austin, TX · On-site

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... explosion of generative AI, the opportunity has never been larger. You'll be at the forefront ...

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How much do generative ai entry level jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for generative ai entry level in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

How to start a career in Generative AI?

To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects, staying updated with research, and obtaining relevant certifications can also improve job prospects in this field.

What types of projects do entry-level professionals in Generative AI typically work on, and how do they contribute to larger team goals?

As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.

What are the key skills and qualifications needed to thrive as a Generative AI Entry Level professional, and why are they important?

To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.

What does a Generative AI Entry Level professional do?

A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions in tech companies. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level usually includes base salary, bonuses, and stock options, reflecting the value and impact of the position within the organization.

Are there any entry-level AI jobs?

Yes, there are entry-level AI jobs such as AI analyst, data labeler, and junior machine learning engineer. These roles often require foundational knowledge of programming, data analysis, and familiarity with AI tools like Python or TensorFlow, making them accessible to recent graduates or those new to the field.

How do I get a job in AI with no experience?

Entry-level AI roles, such as those involving generative AI, often require foundational skills in programming (Python is common), understanding of machine learning concepts, and familiarity with AI frameworks like TensorFlow or PyTorch. Gaining experience through online courses, tutorials, personal projects, and internships can help build a portfolio that demonstrates your abilities to employers.
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AI System Developer I

Tallgrass

Lakewood, CO • On-site

Full-time

Medical, Life, Retirement, PTO

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

Job description


Primary purpose:
The AI System Developer I serves as an entry-level individual contributor responsible for supporting the design, development, integration, and maintenance of AI-enabled solutions, enterprise integrations, and related microservices under the guidance of senior team members. This role focuses on building foundational skills across AI system development, model serving, inference pipelines, and enterprise integrations while developing familiarity with retrieval-augmented generation (RAG), orchestration patterns, and AI-assisted development tools. The position emphasizes learning established patterns, contributing to structured tasks, and growing toward independent delivery within a collaborative team environment.
Responsibilities
Essential duties and responsibilities:
  • Support the implementation and maintenance of AI system components including model serving APIs, inference pipelines, and microservices under the direction of senior developers.
  • Assist in implementing integrations between LLMs, AI services, and enterprise applications including internal portals, chatbots, and workflow automation platforms.
  • Learn and apply retrieval-augmented generation (RAG) concepts including vector stores and knowledge indexes under the guidance of senior team members.
  • Assist in translating business requirements into technical specifications, flow diagrams, and implementation plans with supervision.
  • Leverage AI-assisted development tools to support Rapid Application Development (RAD) including generating code scaffolding, templates, unit-test stubs, and documentation under established guidelines and patterns.
  • Support data preparation activities in collaboration with Data & Analytics; assist in ensuring data quality, lineage, and appropriate transformations for AI-ready datasets.
  • Assist in packaging AI components using containerization (Docker) and support deployment automation activities (Kubernetes, serverless patterns) under direction.
  • Support CI/CD pipeline activities for model and service delivery; learn and apply model versioning and model registry practices (MLflow, model registry) under supervision.
  • Apply company AI governance guardrails under direction: data minimization, PII handling, prompt filtering, content moderation, and privacy and security best practices; support collaboration with Legal, Compliance, and Security as needed.
  • Write unit and integration tests for AI components and APIs under supervision; participate in release planning, deployment verification, and post-deployment monitoring; assist in troubleshooting production issues and documenting findings; maintain technical documentation, runbooks, and user guides as assigned; provide on-call support as required.
  • Keep current with LLM, generative AI, and MLOps best practices; learn and apply reusable patterns, templates, and components from the Center of Excellence knowledge base.
  • Work effectively across multi-disciplinary teams and present technical details to non-technical stakeholders.
  • Collaborate with a variety of people with tact, courtesy, and professionalism.
  • Maintain regular, dependable attendance and a high level of performance.
  • Maintain a high regard for personal safety, the safety of company assets and employees, and the general public.
  • Other daily, weekly, monthly, or special projects may be assigned.

Qualifications
Education:
  • Bachelor's degree from an accredited institution in Computer Science, Machine Learning, Data Science, Software Engineering, Information Systems, Business Management, or a related discipline. Degrees in Artificial Intelligence or Machine Learning are welcomed and applicable.
  • A minimum of three (3) years of direct work experience in IT or a related discipline may be considered as a substitute for a degree.

Experience/Specific Knowledge:
  • Minimum of zero (0) to two (2) years of overall IT experience; recent graduates with relevant academic project experience or internships will be considered.
  • Foundational experience or academic exposure to system development, AI/ML concepts, or software engineering practices.
  • Foundational development experience in modern software engineering languages and environments; exposure to Python and common ML/AI libraries and frameworks preferred.
  • Exposure to or coursework in the full product development life cycle.
  • Basic SQL skills and foundational understanding of data concepts and structures.
  • Exposure to reporting tools and the ability to assist in developing and maintaining operational reports.
  • Foundational experience or coursework in application development using web frameworks, microservices, or equivalent technology.
  • Ability to communicate technical and business issues clearly to both technical and non-technical audiences with supervision.
  • Ability to manage assigned tasks and priorities with regular supervision and guidance.
  • Proficiency in MS Office applications including but not limited to Excel, Word, PowerPoint, and Outlook.

Certifications, Licenses & Registrations:
  • Must possess and maintain a valid driver's license and a driving record satisfactory to the company and its insurers (for travel).
  • Application Developer certification(s) such as MCSD, OCP/M/E, CSD, or equivalent preferred. AI/ML certifications or training from recognized vendors or community programs advantageous.

Competencies, Skills & Abilities:
  • Ability to work under supervision and collaboratively in a team environment; receptive to feedback, direction, and mentoring from senior team members.
  • Ability to manage assigned tasks and meet deadlines with guidance; organize work and use time efficiently.
  • Deliver excellent customer service and maintain professional relationships across all levels of the organization.
  • Demonstrated ability to communicate clearly, both verbally and in writing, on technical and systems topics to both technical and non-technical audiences.
  • Ability to apply analytical and foundational technical understanding to assist in diagnosing problems and identifying practical solutions under direction.
  • Demonstrate strong attention to detail, reliability, and adherence to work schedules and policies.
  • Able to perform the essential functions of the position.

Physical Demands:
All the physical requirements listed below are those that may be necessary for an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made for individuals with disabilities to perform the essential functions.
  • Must be able to sit for prolonged periods of time.
  • The employee is regularly required to use hands to type, touch, handle, or feel. The employee is required to talk and hear. The employee is frequently required to stand and reach with hands and arms. The employee is occasionally required to walk and climb or balance. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.

Working Conditions:
  • Required to carry a cell phone and be available to respond during working and non-working hours.
  • The successful candidate will be required to clear a drug screen and a complete background check, including credit report for certain positions, after an offer has been extended and prior to being employed.

Supervisory Responsibility:
  • None.

Preferred Education, Experience, Certifications, Competencies, Skills & Abilities:
Above the minimum requirements, not required but advantageous in this position:
  • Application Developer certification(s) such as MCSD, OCP/M/E, CSD, or equivalent preferred. AI/ML certifications or training from recognized vendors or community programs.
  • Academic or hands-on project experience with LLMs, generative AI, or ML model deployment.
  • Exposure to orchestration libraries or frameworks for building agentic or multi-step call flows.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud ML services.
  • Foundational exposure to security concepts for models and data including PII handling and data protection practices.
  • Exposure to vector databases or RAG concepts through coursework, personal projects, or early career experience.
  • Exposure to containerization concepts (Docker) or cloud-managed equivalents.
  • Foundational Python proficiency and exposure to machine learning libraries and toolkits; familiarity with LLM toolkits and ecosystems preferred.

Compensation:
  • The annual salary range for this position will be $70,000-$86,000/yr.

Other responsibilities:
  • The above statements describe the general nature and level of work being performed. This position may perform other duties as assigned.

About Us
Tallgrass was named one of the Top Workplaces USA and highlighted in Colorado's Top Workplaces for the past seven consecutive years. Tallgrass is a leading energy infrastructure company focused on safely, reliably, and sustainably delivering the energy and services that power our nation and enable our quality of life.
At Tallgrass, we value our teams and strive to create an environment where employees feel respected, and their contributions are valued. We aim to support employees' physical, mental, and financial well-being through a comprehensive Total Rewards Program.
  • Industry competitive pay
  • Health insurance package options that include Flexible Spending & Health Savings Accounts
  • Infertility Coverage
  • Parental Leave
  • 401(k) with up to a 6% match that vests immediately plus an employer discretionary contribution of up to 4%
  • Wellness Programs and Mental Health Resources
  • Employer-paid life insurance, short-term disability, and long-term disability coverage
  • Critical Illness & Accident Insurance
  • Vacation, sick days, paid caregiver leave, volunteer and bereavement paid time off
  • Identity theft protection
  • Annual discretionary bonus
  • Generous Tuition Reimbursement Program
  • Company-paid holidays and floating holidays
  • Company vehicle (if applicable)
  • Employee discounts; vehicles, tires, cellular plans, and more
  • Networking and employee engagement events
  • Personal development to grow your career with us based on your strengths and interests

Application Deadline: Recruiting timelines vary by position; however, all Tallgrass positions accept applications for at least five business days from the posting date. This position is open and still accepting applications.
Compensation: Compensation ranges are provided in good faith based on what we anticipate when researching wages for this position at the state and national levels. We may ultimately pay more or less than the posted range. This salary range may also be modified in the future.
Notice to External Search Firms: Tallgrass does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Tallgrass property; therefore, Tallgrass will not pay a fee for any placement resulting from the receipt of an unsolicited referral. Approved vendors may be invited to refer talent for specific positions at Tallgrass's request only. A fully executed agreement with Tallgrass must be in place and current in these cases.
EEO Statement: Tallgrass complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Tallgrass does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender Identity and expression, disability, veteran status, pregnancy status, or other status protected by law.

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