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Backend Full Stack Engineer Jobs in Lewisville, AR

Jobtailor

Principal Data Scientist

Atlanta, TX · On-site

$140 - $190/hr

Collaborating with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.

All JobsBackend Full Stack Engineer JobsBackend Full Stack Engineer Jobs in Lewisville, AR

Backend Full Stack Engineer information

See Lewisville, AR salary details

$42.8K

$129.6K

$183.1K

How much do backend full stack engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for backend full stack engineer in Lewisville, AR is $129,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a backend full stack engineer?

A Backend Full Stack Engineer is a software developer who specializes in building and maintaining the server-side logic, databases, and APIs of an application, while also having proficiency in front-end technologies. They are capable of working on both the backend and frontend parts of web applications, allowing them to develop end-to-end features and ensure seamless integration between the client and server sides. This role requires strong knowledge of programming languages such as JavaScript (Node.js), Python, or Java, as well as familiarity with databases, server architectures, and various web frameworks. Backend Full Stack Engineers often collaborate with designers, frontend developers, and other stakeholders to deliver complete and functional products.

How does a backend full stack engineer typically collaborate with frontend developers and other team members?

Backend Full Stack Engineers frequently work alongside frontend developers, product managers, and QA engineers to deliver seamless user experiences. They are responsible for building and maintaining server-side logic and APIs, ensuring data flows efficiently between the backend and frontend. Effective communication is essential, as they must align backend functionality with frontend requirements and participate in code reviews, sprint planning, and troubleshooting sessions. This collaborative environment fosters learning and often provides opportunities to contribute across the tech stack, enhancing both technical and interpersonal skills.

What are the key skills and qualifications needed to thrive as a backend full stack engineer?

To thrive as a Backend Full Stack Engineer, you need strong proficiency in server-side languages (such as Node.js, Python, or Java), database management, and a solid understanding of front-end technologies, usually supported by a degree in computer science or related experience. Familiarity with frameworks (like Express, Django, or Spring), version control systems (like Git), and cloud platforms (such as AWS or Azure) is typically required. Effective problem-solving, communication, and teamwork skills help you collaborate across disciplines and deliver robust solutions. These skills ensure scalable, maintainable applications and seamless integration between backend and frontend systems, which are critical for organizational success.

What is the difference between Backend Full Stack Engineer vs Frontend Developer?

AspectBackend Full Stack EngineerFrontend Developer
Primary FocusDeveloping server-side logic, databases, and APIsDesigning and implementing user interface and client-side features
Required SkillsProgramming languages like Python, Java, Node.js; databases; server managementHTML, CSS, JavaScript; frameworks like React or Angular
Work EnvironmentOften involved in both front-end and back-end tasks, collaborating across teamsPrimarily focused on client-side development, UI/UX design

While both roles require strong programming skills, Backend Full Stack Engineers handle both server-side and client-side development, whereas Frontend Developers focus mainly on creating engaging user interfaces. Understanding these differences helps employers and job seekers target the right skills and responsibilities for each role.

What cities near Lewisville, AR are hiring for Backend Full Stack Engineer jobs? Cities near Lewisville, AR with the most Backend Full Stack Engineer job openings:
Backend Full Stack Engineer jobs near you
Infographic showing various Backend Full Stack Engineer job openings in Lewisville, AR as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,567 per year, or $62.3 per hour.

Principal Data Scientist

Jobtailor

Atlanta, TX • On-site

$140 - $190/hr

Other

Posted 21 days ago

Job description

Responsibilities
  • Leading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.
  • Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal-oriented agents.
  • Developing robust evaluation frameworks and "gold-standard" datasets to measure the performance, faithfulness, and accuracy of generative outputs.
  • Scaling AI initiatives and agentic development across Invesco Technology teams by creating reusable patterns, prompt templates, agentic harnesses, skills, and subagents with GitHub Copilot and Claude Code.
  • Collaborating with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.
  • Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.
  • Applying emerging techniques in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges.
Requirements
  • 7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI.
  • Strong foundation in Python and cloud-native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps.
  • Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.
  • Familiarity with creating evaluation metrics and building datasets for model validation and testing.
  • Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.
  • A desire to work at the intersection of data engineering and full-stack development, with the agility to pivot based on rapid sprint feedback.
Core Competencies

Demonstrates expertise in Natural Language Processing (NLP) and Generative AI, with a strong foundation in Python and cloud-native development. Capable of leading AI initiatives, implementing evaluation frameworks, and collaborating effectively across teams to integrate AI solutions into business workflows.

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