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Entry Level Ai Agent Jobs (NOW HIRING)

Highline Residential

Be Seen First

Luxury Real Estate Agent

New York, NY · On-site

$100K - $1M/yr

Our AI engine delivers 500+ viable hot leads daily directly to our agents. The Power of Our AI ... showing and negotiating. * Entry Level Program: 2 year mentorship under a top producer

Windstar Cruises

Contact Center AI Lead

Houston, TX · On-site +1

Monitor virtual agent interactions for accuracy, tone, escalation behavior, and guest experience ... * Entry-level candidates with demonstrated AI fluency and relevant project or coursework ...

Windstar Cruises

Contact Center AI Lead

Miami, FL · On-site +1

Monitor virtual agent interactions for accuracy, tone, escalation behavior, and guest experience ... * Entry-level candidates with demonstrated AI fluency and relevant project or coursework ...

Windstar Cruises

Monitor virtual agent interactions for accuracy, tone, escalation behavior, and guest experience ... * Entry-level candidates with demonstrated AI fluency and relevant project or coursework ...

Internal Career Site

Contact Center AI Lead

Miami, FL · On-site +1

Monitor virtual agent interactions for accuracy, tone, escalation behavior, and guest experience ... * Entry-level candidates with demonstrated AI fluency and relevant project or coursework ...

Greenwood Project

AI Enablement Lead

Chicago, IL

... entry-level professionals won't reach for years. You'll be the person who makes that happen. What ... LLMs (Claude, GPT, etc.), coding assistants (Cursor, Copilot), agent frameworks, and workflow ...

Greenwood Project

AI Enablement Lead

Chicago, IL

$95K - $115K/yr

... entry-level professionals won't reach for years. You'll be the person who makes that happen. What ... LLMs (Claude, GPT, etc.), coding assistants (Cursor, Copilot), agent frameworks, and workflow ...

Whoop

AI Product Specialist

Boston, MA · On-site

$90K - $120K/yr

This is an entry-level, hands-on product role: you'll work in our internal tools, writing and ... Write, test, and iterate prompts and agent instructions that shape how WHOOP's AI agents behave.

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Entry Level Ai Agent information

What is the difference between Entry Level Ai Agent vs Data Analyst?

AspectEntry Level Ai AgentData Analyst
Required CredentialsBasic understanding of AI concepts, some certifications preferredBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer support, AI development teamsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused roles in tech and startupsData-driven decision making across various sectors
Search & Comparison IntentUnderstanding entry-level AI rolesComparing AI-related roles with data analysis

Entry Level Ai Agents typically focus on supporting AI systems, understanding basic AI tools, and assisting in AI-related tasks. Data Analysts analyze data to generate insights and support decision-making. While both roles involve data and technology, Entry Level Ai Agents are more aligned with AI system support, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an entry level AI agent, and why are they important?

To thrive as an Entry Level AI Agent, you need a basic understanding of machine learning concepts, programming skills (often Python), and a relevant degree or coursework in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms such as AWS or Google Cloud is commonly required. Strong analytical thinking, curiosity, and effective communication help individuals learn quickly and collaborate on projects. These skills enable entry-level agents to contribute meaningfully to AI development, troubleshoot models, and integrate smoothly into technical teams.

What is an entry level AI agent?

Entry level AI agents are software programs or applications that use artificial intelligence to perform basic, repetitive, or straightforward tasks with minimal human supervision. These agents are designed to automate simple processes such as scheduling, responding to common queries, data entry, or basic customer support. They typically require less training or customization compared to more advanced AI systems and are often used by businesses to improve efficiency in everyday operations. Entry level AI agents can be found in chatbots, virtual assistants, and workflow automation tools. As technology evolves, their capabilities continue to expand, making them valuable assets in many industries.

How to start working on entry level AI agents?

To start working on entry level AI agents, gain foundational knowledge in programming languages like Python and understand basic machine learning concepts. Familiarize yourself with AI frameworks such as TensorFlow or PyTorch, and consider completing online courses or certifications to build relevant skills. Entry-level roles often require a strong understanding of data handling and problem-solving abilities.

What types of projects or tasks can an entry level AI agent expect to work on in their first year?

As an Entry Level AI Agent, you'll typically work on a variety of foundational tasks such as data preprocessing, model training, testing, and basic troubleshooting under the guidance of more experienced team members. You may assist in gathering and labeling data, running experiments, and evaluating model performance. Collaboration with data scientists, software engineers, and product managers is common, providing valuable exposure to the AI development lifecycle. This hands-on experience helps you build core technical and teamwork skills, setting the stage for more advanced responsibilities as you gain confidence and expertise.
More about Entry Level Ai Agent jobs
What cities are hiring for Entry Level Ai Agent jobs? Cities with the most Entry Level Ai Agent job openings:
What are the most commonly searched types of Ai Agent jobs? The most popular types of Ai Agent jobs are:
What states have the most Entry Level Ai Agent jobs? States with the most job openings for Entry Level Ai Agent jobs include:
What job categories do people searching Entry Level Ai Agent jobs look for? The top searched job categories for Entry Level Ai Agent jobs are:
Entry Level Ai Agent jobs near you
Infographic showing various Entry Level Ai Agent job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

Zededa

San Jose, CA • On-site

Temporary

Re-posted 17 days ago

Job description

About ZEDEDA
ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. ZEDEDA's Edge Intelligence products and solutions are used by global distributed enterprises to rapidly realize and deploy autonomous intelligence wherever they operate, turning real-time data into real and tangible business outcomes and decisions. Trusted by the world's largest organizations, ZEDEDA is backed by world-class investors, with teams in the United States, Germany, India, and the United Arab Emirates. For more information, visit www.ZEDEDA.ai.
Location: San Jose, CA (3 days onsite)
This is an onsite position based in our San Jose, CA office. Candidates must be able to reliably commute to this location; relocation assistance and travel/commuting expenses are not provided.
Role Summary
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without employer sponsorship, now and in the future. We're looking for a curious, self-driven entry level Software Engineer who sits at the intersection of AI and cloud-native infrastructure. You'll work alongside experienced engineers on real-world problems in edge orchestration - problems that are often loosely defined, fast-moving, and require you to think from first principles. You bring energy, adaptability, and a genuine enthusiasm for using AI tools and technologies, both as the subject of your work and as instruments in how you work every day.
This role for a recent graduate or someone with up to two years of industry experience. You won't be handed a perfectly scoped ticket - you'll be trusted to figure things out.
Core Responsibilities:
  • Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
  • Build and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.
  • Work with ONNX, GenAI, and ML models - integrating them into production-ready pipelines and edge environments.
  • Use AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.
  • Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.
  • Contribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.
  • Write and maintain Helm charts for deploying services into Kubernetes clusters.
  • Collaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.

Qualifications:
Required:
  • Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field - or equivalent practical experience.
  • Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).
  • Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.
  • Practical exposure to Kubernetes - understanding of pods, deployments, services, namespaces, and controllers. Familiarity with lightweight Kubernetes distributions such as k3s is a plus, particularly in the context of resource-constrained edge environments.
  • Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.
  • Ability to work with vague or evolving problem statements and drive toward clarity independently.
  • Language-agnostic development mindset - you pick the right tool for the job and learn what you don't know.
  • Comfortable with basic Linux commands and shell scripting.

Preferred:
  • Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.
  • CKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.
  • Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.
  • Demonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows - not just familiarity, but fluency.
  • Prior contribution to, or porting of, open-source projects.
  • Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.
  • Familiarity with AWS or Azure tooling.
  • Knowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.
  • Exposure to Helm chart authoring, not just usage.
  • Awareness of edge computing concepts, IoT, or distributed systems.
  • Familiarity with edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.
  • Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.

Pay & Benefits
At ZEDEDA, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Base pay is determined by considering your skills, qualifications, experience, and location. For this role the base pay range is $120,000-$140,000
Why ZEDEDA
ZEDEDA offers competitive salary, performance-based bonuses, comprehensive medical benefits, hybrid work flexibility, and meaningful opportunities for technical growth and advancement. Engineers at every level have access to AI productivity tools, on the job learning, and a culture that celebrates curiosity and experimentation - because at ZEDEDA, impact matters more than activity, and learning is never optional.

Apply