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Software Engineer Jobs in Springfield, MO (NOW HIRING)

Frontend Engineer

Springfield, MO · Remote

$40 - $75/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

The Automation Engineer utilizes independent judgment to perform the day-to-day project duties of ... Estimates automation hardware, software and manpower requirements. * Coordinates design and/or ...

The Automation Engineer utilizes independent judgment to perform the day-to-day project duties of ... Estimates automation hardware, software and manpower requirements. * Coordinates design and/or ...

The Automation Engineer utilizes independent judgment to perform the day-to-day project duties of ... Estimates automation hardware, software and manpower requirements. * Coordinates design and/or ...

Cochran is a growing civil engineering firm with 7 Missouri offices, offering services in ... Hydraulic modeling software (e.g., WaterCAD, SewerCAD) Benefits: * Competitive salary and ...

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Software Engineer information

See Springfield, MO salary details

$57.8K

$134.2K

$186.9K

How much do software engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for software engineer in Springfield, MO is $134,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $157,400.00 per year, depending on experience, location, and employer.

Does Embry Riddle have software engineering?

Embry-Riddle Aeronautical University offers programs related to software engineering, including degrees in computer science and software development. These programs typically include coursework in programming languages, algorithms, and systems design, preparing students for careers as software engineers.

What job does a software engineer do?

A software engineer designs, develops, tests, and maintains software applications and systems. They use programming languages, such as Java, Python, or C++, and often collaborate with teams to create solutions that meet user needs and technical requirements.

What Is the Job of a Software Engineer?

Software engineers design, build, and maintain software systems for electronic devices. A software engineer may operate alone, but typically they spend their time collaborating with other engineers, scientists, and various specialists to come up with creative solutions.

On a day-to-day basis, software engineers operate as the creative brain behind electronic devices. They ensure active programs run smoothly and may recommend software updates for product optimization. In some cases, a software engineer may write or program code. Software engineers may also spend time troubleshooting and explaining programs to clients.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like tech hubs or with expertise in specialized fields such as machine learning, cloud computing, or cybersecurity, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

Will AI replace software engineers in 2040?

Software engineers design, develop, and maintain software systems, and while AI can automate certain coding tasks, it is unlikely to fully replace human engineers by 2040. AI tools will continue to augment engineering work, requiring skills in programming, problem-solving, and system design to adapt to evolving technology. Human oversight remains essential for complex decision-making and ethical considerations in software development.

What are Software Engineers?

Software Engineers are professionals who design, develop, test, and maintain computer software and systems. They use programming languages, engineering principles, and problem-solving skills to build applications, websites, or software solutions that meet specific needs. Software Engineers may work in a variety of industries, such as technology, finance, healthcare, or entertainment, collaborating with other team members to deliver functional and reliable software. Their role often involves analyzing user requirements, writing code, debugging errors, and continually improving software performance.

What are some common challenges software engineers face when collaborating on large development teams?

Software engineers working on large teams often encounter challenges with communication, code integration, and maintaining consistent coding standards. Coordinating across multiple developers can lead to merge conflicts and misunderstandings about project requirements or priorities. Adopting tools like version control systems, regular code reviews, and clear documentation helps mitigate these issues. Building strong collaboration skills and proactively seeking clarification are key to ensuring smooth teamwork and project success.

What are the key skills and qualifications needed to thrive as a Software Engineer, and why are they important?

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are typically required. Excellent teamwork, communication, and adaptability distinguish top performers in this role. These skills ensure efficient, high-quality software development that meets user needs and adapts to technological changes.

What is the difference between Software Engineer vs Software Developer?

AspectSoftware EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certificationsBachelor's degree often preferred, certifications optional
Work EnvironmentDesigning, developing, testing, and maintaining software systemsWriting, coding, and implementing software applications
Industry UsageUsed across tech, finance, healthcare, and more for system-level rolesCommonly used in app and web development projects
Search IntentUnderstanding roles, responsibilities, and qualificationsLearning about coding, programming, and project work

While both roles involve software creation, Software Engineers typically focus on designing and architecting complex systems, whereas Software Developers mainly concentrate on coding and building specific applications. The roles often overlap, but the Engineer role may require broader system knowledge and design skills.

What are the most commonly searched types of Software Engineer jobs in Springfield, MO? The most popular types of Software Engineer jobs in Springfield, MO are:
What job categories do people searching Software Engineer jobs in Springfield, MO look for? The top searched job categories for Software Engineer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Software Engineer jobs? Cities near Springfield, MO with the most Software Engineer job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • Remote

Other

Posted 22 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.