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Gen Ai Software Developer Jobs in Springfield, MO

Bespoke Labs

Data Engineer

Springfield, MO

$104K - $125K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Springfield, MO · On-site

$104K - $125K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Coxhealth

Analytics Engineer I

Springfield, MO · On-site

Benefits | CoxHealth The Analytics Engineer I will be responsible for assisting in the development ... software, systems, and technologies, including basic concepts of advanced analytics and AI

New

PASS Security

Security Sales Consultant

Springfield, MO · On-site

$100K - $150K/yr

... software, monitoring, and AI/video solutions), preparing and presenting proposals, and ensuring a smooth handoff to Engineering/Project Management and Operations for successful deployment and ongoing ...

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All JobsGen Ai Software Developer JobsGen Ai Software Developer Jobs in Springfield, MO

Gen Ai Software Developer information

See Springfield, MO salary details

$43.7K

$101.7K

$151K

How much do gen ai software developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for gen ai software developer in Springfield, MO is $101,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $118,300.00 per year, depending on experience, location, and employer.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What are popular job titles related to Gen Ai Software Developer jobs in Springfield, MO? For Gen Ai Software Developer jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Gen Ai Software Developer jobs in Springfield, MO look for? The top searched job categories for Gen Ai Software Developer jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Gen Ai Software Developer jobs? Cities near Springfield, MO with the most Gen Ai Software Developer job openings:
Gen Ai Software Developer jobs near you
Infographic showing various Gen Ai Software Developer job openings in Springfield, MO as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,737 per year, or $48.9 per hour.

Senior Site Reliability Engineer

O'Reilly Auto Parts

Springfield, MO • On-site

$53.75 - $71.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,884 frontline employees who took The Breakroom Quiz

547th of 731 rated retailers

Job description

Site Reliability Engineers are responsible for ensuring the availability, reliability, scalability, and performance of the firm's most critical customer-facing microservices that power all eCommerce channels. This role applies Google-inspired SRE principles to balance feature velocity and system reliability using Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets.
The role combines software engineering, cloud engineering, automation, and production operations, with a strong emphasis on building systems that are observable, resilient, and operable by default.
This is an on-site position located in Springfield, MO. Remote work is not an option for this position.
Primary Responsibilities
  • Define, implement, and own SLIs, SLOs, and error budgets for critical microservices in collaboration with product and engineering teams.
  • Use error budgets to influence release decisions, prioritize reliability initiatives, and manage operational risk.
  • Design and maintain observability platforms, including metrics, logs, traces, and real-time telemetry.
  • Track, manage, and reduce operational toil by converting repetitive operational tasks into Jira stories and epics with clear ownership and measurable outcomes.
  • Design, implement, and validate resiliency mechanisms such as graceful degradation, redundancy, automated failover, and disaster recovery.
  • Lead incident response efforts, act as an escalation point for high-severity incidents, and drive blameless postmortems.
  • Capture incident action items and reliability improvements in Jira, ensuring accountability, closure, and continuous improvement.
  • Partner with Scrum teams to improve reliability through release readiness reviews, production change validation, and testing strategies.
  • Perform deep root cause analysis, debugging, and performance tuning across distributed systems.
  • Promote shift-left reliability practices by embedding operability, monitoring, and failure testing early in the SDLC.
  • Drive continuous improvement through automation, self-healing systems, chaos engineering, and capacity planning.
  • Maintain runbooks, playbooks, and knowledge repositories, linking documentation to Jira tasks to reduce MTTR.
  • Provide technical leadership and mentoring to junior SREs and engineers.
  • Collaborate with global, distributed teams, leveraging Jira for transparent planning, dependency tracking, and execution.
  • Conduct production readiness reviews and ensure services meet operational excellence standards before deployment.
  • Track and improve operational KPIs such as availability, MTTR, MTTD, deployment success rate, and incident recurrence.
  • Collaborate with security and platform teams to ensure reliability, compliance, and operational security best practices are embedded into systems and deployment pipelines.
  • Explore opportunities to leverage AI-driven observability, anomaly detection, and operational automation to improve system reliability and reduce manual effort.

Core Competencies & Qualifications
  • 4+ years of experience in SRE, software engineering, or production operations supporting large-scale eCommerce platforms.
  • Hands-on experience with Java/J2EE-based distributed systems; React experience is a plus.
  • Proven ability to design and operate systems using SLO-driven reliability models.
  • Experience defining and measuring SLIs, including availability, latency, error rates, throughput, and saturation.
  • Good understanding of NoSQL technologies and RDBMS concepts, with the ability to write and troubleshoot database queries.
  • Experience deploying and operating services on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
  • Expertise with observability, APM, and caching tools such as Dynatrace, Splunk, ELK, Akamai, Quantum Metric, and Tealeaf.
  • Strong experience using Jira for backlog management, incident tracking, toil reduction initiatives, and cross-team coordination.
  • Ability to independently own services and drive reliability initiatives end-to-end.
  • Strong communication skills with the ability to influence engineering and product teams.
  • Experience participating in on-call rotations and handling critical/high-severity incidents.

Desired Skills
  • Experience building and operating microservices architectures using Spring Boot, Groovy, React, or similar technologies.
  • Strong understanding of CI/CD pipelines, release automation, and progressive delivery practices.
  • Experience working within eCommerce domains such as Catalog, Customer Data, and Order Management.
  • Familiarity with search platforms including Endeca, Solr, Lucene, and Elasticsearch.
  • Proficiency in scripting and automation using Python, Bash, Ruby, Perl, or PowerShell.
  • Experience with ITSM tools integrated with Jira workflows.
  • Exposure to capacity planning, load testing, and chaos engineering practices.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes (EKS, AKS, or GKE).
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
  • Understanding of operational KPIs including availability, MTTR, MTTD, deployment success rate, and incident recurrence metrics.
  • Experience conducting production readiness reviews and implementing operational governance processes.
  • Ability to collaborate with security and platform engineering teams to ensure reliability, compliance, and operational security best practices.
  • Exposure to AI-assisted operations, anomaly detection, intelligent alerting, and automated remediation solutions.
  • Experience designing scalable, self-healing platforms and automation frameworks for cloud-native environments.

O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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