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Software Engineer Early Jobs in Texas (NOW HIRING)

Senior Software Engineer

Houston, TX · On-site

$93K - $147K/yr

We are seeking a Software Engineer to join our Data & AI Engineering team to build modern, scalable ... Early-career candidates will work closely with experienced engineers, contributing to meaningful ...

Senior Software Engineer

Dallas, TX · On-site

$93K - $147K/yr

We are seeking a Software Engineer to join our Data & AI Engineering team to build modern, scalable ... Early-career candidates will work closely with experienced engineers, contributing to meaningful ...

You'll be a key early team member who owns the back end from day one, with opportunities to expand ... Care for software engineering best practices, including code reviews and documentation * Care for ...

Integration Engineer (Early Career)

Plano, TX · On-site

$99K - $134K/yr

About This Opportunity We are seeking early career professionals for this role that sits within ... Bachelor's degree in IT, Computer Science, Engineering, or a related field * 4+ years of IT ...

Founding Software Engineer

Austin, TX · On-site

$140 - $210/hr

We're an early-stage company with experienced founders, growing customers, and the opportunity to ... About the role We're looking for a Founding Software Engineer to help build the core platform ...

New

Partners with the product owner, software developers, designers, and external technical collaborators to translate early-stage commercialization workflows into accurate, traceable, and auditable AI ...

Join a Company that Empowers You to Build Your Future We are seeking an early-career back-end/full-stack Software Engineer to join our team building and evolving our flagship digital web presence.

Integration Engineer (Early Career)

Plano, TX · On-site

$100K - $134K/yr

About This Opportunity We are seeking early career professionals for this role that sits within ... Bachelor's degree in IT, Computer Science, Engineering, or a related field * 4+ years of IT ...

Software Engineer I

Irving, TX · On-site

$70 - $95/hr

Join a Company that Empowers You to Build Your Future We are seeking an early-career back-end/full-stack Software Engineer to join our team building and evolving our flagship digital web presence.

New

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

They are seeking a Senior Software Engineer to help build and evolve SkyNav, their mission planning ... The company is currently Early Stage.

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Senior Software Engineer, you will help build Alamo, the internal MES/ERP platform powering ... Help establish engineering patterns for a system that will scale from early internal tooling into ...

Whether you're early in your career or bringing years of expertise, we welcome your perspective ... About the Role Staff Software Engineer who is passionate about building scalable, high-quality ...

As a Software Engineer, you will be responsible for designing, developing, and implementing complex ... On June 15th, John only worked 4 hours because he left early for a long weekend. John's IBA was not ...

Showing results 21-40

Software Engineer Early information

What is a software engineer early?

A Software Engineer Early, often called an entry-level software engineer, is someone who has recently started their career in software development. They typically have less than two years of professional experience and are responsible for writing, testing, and maintaining code under the guidance of more senior engineers. Early career software engineers work on various projects to build foundational skills in programming, problem-solving, and collaboration. They are often recent graduates or individuals who have transitioned into tech roles through bootcamps or self-learning.

What are the key skills and qualifications needed to thrive as a software engineer early?

To thrive as a Software Engineer Early, you need a strong grasp of programming fundamentals, problem-solving skills, and typically a degree in computer science or a related field. Familiarity with common programming languages (such as Python, Java, or C++), version control systems like Git, and basic software development tools is expected. Strong communication, teamwork, and a willingness to learn make early-career engineers stand out. These skills and qualities are vital for quickly adapting to new technologies, collaborating effectively, and delivering high-quality software in dynamic environments.

What are some common challenges faced by early-career software engineers, and how can they overcome them?

Early-career software engineers often encounter challenges such as adapting to new codebases, understanding team workflows, and balancing learning with delivering results. Navigating unfamiliar technologies and integrating feedback from more experienced colleagues can feel daunting at first. To overcome these obstacles, it's helpful to ask questions proactively, seek mentorship within the team, and dedicate time to continuous learning. Collaborating closely with peers and participating in code reviews can also accelerate both technical and professional growth.

What is the difference between Software Engineer Early vs Software Engineer Intern?

AspectSoftware Engineer EarlySoftware Engineer Intern
CredentialsBachelor's degree in CS or related field, some experienceEnrolled in or recent graduate of a relevant degree program
Work EnvironmentFull-time, ongoing projects, team collaborationTemporary, project-based, learning-focused
Employer UsageCompanies hiring entry-level full-time engineersInternship programs, often during summer or semester breaks
Search/Comparison IntentUnderstanding career progression from intern to early engineerSeeking internship opportunities or understanding intern roles

Software Engineer Early typically refers to a full-time, entry-level position for recent graduates or those with some experience, working on ongoing projects. Software Engineer Interns are usually students or recent graduates in internship programs, focusing on learning and gaining experience. The main difference lies in employment status, duration, and purpose: early engineers are full-time employees, while interns are temporary learners.

Infographic showing various Software Engineer Early job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Associate AI Software Engineer

Asure Software, Inc.

Addison, TX • On-site

$80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Whowe are
Over 600 employees strong, Asure sees Human Capital Management (HCM) through the lens of entrepreneurs and executives with an owner's mentality. We help businesses develop their "Human Capital" to get to the next level, stay compliant, and allocate their time, money and technology toward growth. Our HCM platform empowers more than 100,000 clients to build great teams and better manage their people while staying compliant in an ever-changing HR legislative landscape. Asure's HCM offering includes Payroll & Tax, HR, and Time & Attendance software and HR Services ranging from online compliance tools to a fully outsourced HR department.
How you will contribute
As an Associate AI Software Engineer, you will work alongside experienced engineers and AI practitioners to design, develop, test, and maintain AI-powered software that supports Asure's products and platform services. In this role you will primarily write Python and build features that integrate large language models (LLMs) and other AI services into real applications running in our AWS cloud environment.
This role is designed for early-career engineers who are eager to grow by learning modern AI software development practices and contributing to business-critical applications. You will gain hands-on experience integrating LLMs, building the APIs and data pipelines that support AI features, and applying solid software engineering fundamentals - all with the guidance and support of a senior team, and with room to grow your skills over time.
Much of this work supports Asure's agentic AI platform, which is designed to turn AI reasoning into reliable, real-world execution across payroll and HCM workflows - with human confirmation required before any sensitive action is committed. You will help build the tools and integrations that let AI systems take safe, well-scoped actions rather than simply generating text, working with modern agent architectures such as the Model Context Protocol (MCP) and human-in-the-loop patterns.
Major Duties and Responsibilities:
  • Collaborate with engineers, product managers, and other stakeholders to build AI-powered software features that meet business and customer needs.
  • Write clean, maintainable, well-tested Python code for applications, services, and APIs that leverage AI and LLM capabilities.
  • Integrate large language models (LLMs) and AI services into software applications and business workflows, primarily within our AWS environment.
  • Assist with prompt design, experimentation, evaluation, and validation of LLM-based features under the guidance of senior engineers.
  • Contribute to the data pipelines and retrieval components (e.g., embeddings and vector search) that support AI features.
  • Participate in code reviews and incorporate feedback to improve software quality, AI solution effectiveness, and your own technical skills.
  • Assist with troubleshooting, debugging, monitoring, and resolving defects in AI-enabled applications and services.
  • Work with relational, NoSQL, and vector data stores to support AI-driven solutions.
  • Support the deployment and operation of AI applications and services in cloud (AWS) environments.
  • Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives.
  • Follow software engineering and responsible AI best practices, and continuously develop your knowledge across Python, AI/LLMs, and cloud technologies with a curiosity and growth mindset.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Information Technology, or a related technical field.
  • Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.
  • Proficiency in Python - the primary language for this role - demonstrated through coursework, projects, internships, or personal development. Strong fundamentals in another modern language (e.g., C#, Java, or JavaScript/TypeScript) with the ability to ramp up quickly on Python are also welcome.
  • Foundational understanding of artificial intelligence, machine learning, or generative AI concepts, gained through coursework, certifications, projects, research, internships, or personal learning.
  • Understanding of large language models (LLMs) and basic prompt engineering concepts, and how they are applied in software applications.
  • Familiarity with APIs and web services.
  • Familiarity with at least one major cloud platform (AWS preferred; Azure or Google Cloud Platform also relevant).
  • Basic understanding of data management concepts, including relational and NoSQL databases.
  • Experience using Git or other version control systems.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to learn quickly and collaborate effectively in a team-oriented environment.

Preferred Qualifications
  • Hands-on experience - through work, internships, co-ops, academic or personal projects, hackathons, or open-source contributions - building software that uses LLMs or other AI capabilities.
  • Experience building agentic AI features - including agent orchestration, tool/function calling, and the Model Context Protocol (MCP) - or with related frameworks and patterns such as LangChain, retrieval-augmented generation (RAG), vector databases, and embeddings.
  • Exposure to LLM platforms and services such as Anthropic, Amazon Bedrock, OpenAI, Azure OpenAI, or Google Gemini.
  • Hands-on experience with AWS, particularly its AI/ML and application services (e.g., Amazon Bedrock, SageMaker, Lambda, DynamoDB).
  • Exposure to the Python data and ML ecosystem (e.g., Pandas, NumPy, and libraries such as PyTorch, TensorFlow, or Scikit-learn).
  • Familiarity with RESTful APIs, web services, and third-party or system integrations.
  • Understanding of AI model and prompt evaluation, monitoring, governance, security, and responsible AI principles.
  • Familiarity with Agile methodologies, DevOps practices, automated testing, or CI/CD pipelines.
  • Exposure to data engineering, ETL pipelines, or analytics platforms.
  • Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar.

Compensation
The starting salary for this position is $80,000 based on relevant experience, skills, and industry knowledge.
Benefits
  • Medical, Dental, Vision, HSA, FSA- All effective on day 1!
  • Company paid Basic Life Insurance, A+D, Long-Term Disability, and Short-Term Disability
  • 401K Program with 3% safe harbor contribution
  • Employee Stock Purchase Program
  • Fitness Reimbursement Program
  • Self-Managed PTO

Our Mission
To provide Human Capital Management (HCM) software and services that help companies grow, while nurturing a culture of growth around us.
  • Helping customers grow by getting the most from their human capital.
  • Helping our employees grow personally and professionally.
  • Growing relationships in our communities that inspire goodness.
  • Grow shareholder value

Our Vision
Be the most trusted Human Capital Management resource to entrepreneurs everywhere.
Our Values
Reflect who we are and what we stand for as a company.
  • Embrace Change
  • Lead with Integrity
  • Own the Outcome
  • Deliver Awesome
  • Be a Good Human

We are an equal opportunity employer. All candidates must be legally authorized to work in the US, as we are unable to sponsor or transfer Visas at this time.
NO AGENCIES PLEASE
Any unsolicited resumes sent to Asure Software from a third party, such as an Agency, including unsolicited resumes sent to Asure's mailing address, fax machine or email address, directly to employees or hiring managers will be considered Asure property. Asure will not pay a fee for any placement resulting from the receipt of an unsolicited resume.