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Entry Level Ai Jobs in Spring, TX (NOW HIRING)

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You'll integrate LLM/AI APIs, build agent workflows, and deliver end-to-end solutions on AWS--starting with smaller features and growing into larger system ownership. If you've built side projects ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

Architect solutions using the appropriate technologies from database to AI to User Interface tools ... Entry Level Position: College Graduate - 2 years experience Below are the career paths we ...

... entry-level credit admin individual to join our credit team. This role is responsible for ... Sun-Source | Privacy Policy #ghxassc We may use artificial intelligence (AI) tools to support parts ...

... entry-level credit admin individual to join our credit team. This role is responsible for ... Sun-Source | Privacy Policy #ghxassc We may use artificial intelligence (AI) tools to support parts ...

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... AI, data and automation. Become Your Best | www.sogeti.us Disclaimer Capgemini is an Equal ...

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We are looking for a few Entry Level (not currently licensed) to Experienced (licensed) individuals ... AI and tools for the next generation. Through relationships and the ease of technology resources ...

AI workflow testing pipelines * System setup and environment configuration * Assist with Linux ... entry-level roles. * Exposure to Linux, operating systems, or systems programming preferred.

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Entry Level Ai information

What is the most entry-level AI job?

An entry-level AI job typically refers to roles such as AI intern, junior data analyst, or AI support technician, which require basic programming skills in languages like Python and familiarity with machine learning concepts. These positions often involve assisting with data preparation, model testing, or supporting AI development teams and may require a relevant degree or certification in computer science or related fields.

Which job to go for a beginner in AI?

Entry-level AI roles typically include positions such as AI intern, junior data analyst, or machine learning assistant. These jobs often require foundational knowledge of programming languages like Python, basic understanding of algorithms, and familiarity with tools such as TensorFlow or scikit-learn. Gaining certifications or completing relevant online courses can improve chances for these roles.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring extensive experience, advanced skills in programming, data analysis, and familiarity with AI tools. These positions usually involve leadership, strategic planning, and innovation in AI development within large organizations or tech companies. Compensation at this level reflects significant expertise, responsibility, and impact on business or technological advancements.

What does the typical day-to-day work look like for an Entry Level AI professional?

As an Entry Level AI professional, your day-to-day tasks often include data cleaning, assisting in the development and testing of machine learning models, and collaborating with more experienced team members on ongoing projects. You may also conduct research to stay current with new AI techniques and help prepare reports or presentations on model performance. Many entry-level roles emphasize learning and mentorship, providing opportunities to receive feedback and continuously develop new technical skills. The position usually involves a mix of independent work and teamwork, offering exposure to real-world AI applications and laying a solid foundation for future career advancement.

How do I start an AI career with no experience?

Starting an entry-level AI career involves building foundational skills in programming languages like Python, understanding basic machine learning concepts, and gaining hands-on experience through online courses, tutorials, or projects. Earning certifications such as those from Coursera or edX can also enhance your resume and demonstrate your commitment to learning.

What is an Entry Level AI job?

An Entry Level AI job is a starting position in the field of artificial intelligence, typically requiring basic knowledge of machine learning, data science, or software development. These roles involve assisting in data preprocessing, model development, and testing AI algorithms. Common titles include AI Research Assistant, Machine Learning Engineer Intern, or Data Analyst. Employers look for candidates with programming skills (Python, TensorFlow, etc.), strong analytical abilities, and a foundational understanding of AI concepts. Many positions require a degree in computer science, mathematics, or a related field, though some opportunities exist for self-taught individuals with relevant projects or certifications.

What are the key skills and qualifications needed to thrive in the Entry Level Ai position, and why are they important?

To thrive as an Entry Level AI professional, you typically need a foundational understanding of programming (such as Python), basic knowledge of machine learning concepts, and a relevant bachelor’s degree in computer science or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as certifications in data science or AI, are highly valuable. Strong problem-solving abilities, a willingness to learn, and collaboration skills help you excel when working on diverse projects and teams. These skills and qualities are crucial for adapting to the rapidly evolving AI field and contributing effectively to organizational goals.

What are the most commonly searched types of Ai jobs in Spring, TX? The most popular types of Ai jobs in Spring, TX are:
What are popular job titles related to Entry Level Ai jobs in Spring, TX? For Entry Level Ai jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai jobs in Spring, TX look for? The top searched job categories for Entry Level Ai jobs in Spring, TX are:
What cities near Spring, TX are hiring for Entry Level Ai jobs? Cities near Spring, TX with the most Entry Level Ai job openings:
Infographic showing various Entry Level Ai job openings in Spring, TX as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Engineer (Entry-Level Remote)

Sembix LLC

Houston, TX • Remote

$60K - $75K/yr

Full-time

Medical, Dental, Vision, Life, PTO

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


Job description

Overview

We're looking for an AI Engineer fresh out of school or early in your career who's excited to ship real AI-powered features. You'll integrate LLM/AI APIs, build agent workflows, and deliver end-to-end solutions on AWS—starting with smaller features and growing into larger system ownership. If you've built side projects, hackathon winners, or coursework that impresses, and you're ready to learn fast and own outcomes, let's talk.

About Sembix

Sembix is revolutionizing system modernization through AI-driven solutions. We leverage innovative AI technologies to transform and rewrite applications into modern, cloud-native systems. Our solutions help businesses unlock their full potential in the cloud, driving efficiency and innovation.

Responsibilities

  • Own small-to-medium features and components end-to-end—from design through production—with mentorship
  • Build AI-integrated software: wire up LLM/AI APIs, design simple agent workflows, and ship AI features with reliability and guardrails
  • Learn and apply cloud-native practices on AWS; work with compute, storage, and serverless services under guidance
  • Contribute across frontend, backend, or data layers; improve user experience and system performance
  • Collaborate with senior engineers, ask great questions, and absorb engineering standards and best practices
  • Connect your work to business outcomes—how does this feature help users, reduce costs, or improve experience?

Required Qualifications

  • Recent graduate or early-career engineer (0–2 years professional experience)
  • Shipped at least one project end-to-end: coursework, hackathon, side project, or internship work that you can talk through
  • Hands-on coding experience in Python, JavaScript, TypeScript, or similar (backend or full-stack preferred)
  • Familiarity with AI/LLM concepts: prompt engineering, API integration, or basic agentic workflows (LangChain, OpenAI API, or similar)
  • Comfort learning AWS basics and infrastructure-as-code concepts on the job
  • Strong curiosity and willingness to learn from senior engineers and feedback

Preferred Skills

  • Side projects or hackathons involving AI/LLM integration or chatbots
  • AWS hands-on experience (even free tier projects count)
  • Full-stack experience: built both frontend and backend components
  • Open source contributions or published code on GitHub
  • A portfolio or personal site showcasing your projects is a big plus
  • Experience with rapid prototyping and iteration
  • Familiarity with Git, CI/CD pipelines, or containerization basics

Success Profile

  • Eager learner: You ask great questions, absorb feedback, and grow fast
  • Builder mindset: You ship projects, even small ones, and take pride in quality
  • AI-curious: You're excited about LLMs and AI, and you experiment with new tools
  • Collaborative: You work well with senior engineers and thrive on mentorship
  • Outcome-focused: You think about how your code impacts users and the business
  • Owner in training: You take ownership of your features and drive them to completion

Compensation and Benefits

  • Base Salary: $60K to $75K
  • Incentive Compensation: Up to 20% of base salary, tied to feature delivery
  • 401(k) Match: 100% match up to 4% of base salary, fully vested immediately
  • Paid Time Off: 20 days per year
  • Medical: 100% employee coverage, 50% for family
  • Holidays: 10 paid holidays annually

Why Join Sembix

  • Be part of a mission-driven team shaping the future of education and public service
  • Work on high-impact projects that simplify operations and improve outcomes
  • Flexible, remote-friendly work culture with a focus on results
  • Competitive compensation and benefits
  • Opportunity to grow into leadership roles as we scale our impact

Equal Opportunity

Sembix is an Equal Opportunity Employer. We are committed to creating a diverse, inclusive, and respectful workplace where all employees and applicants are treated fairly. Employment decisions at Sembix are based on business needs, job requirements, qualifications, and merit. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, pregnancy, national origin, age, disability, genetic information, veteran status, marital status, or any other status protected by applicable federal, state, or local law. Sembix is committed to providing reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs, practices, or observances, unless doing so would create an undue hardship.

Company Description

Sembix is revolutionizing system modernization through AI-driven solutions. We leverage innovative AI technologies to transform and rewrite applications into modern, cloud-native systems. Our solutions help businesses unlock their full potential in the cloud, driving efficiency and innovation.