774 Software Engineering Intern jobs in Wayne,NE

Paid internship program

Competitive pay

Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions.

If eligibility requirements are met, you may participate in 401(k).

Currently enrolled in Ag Business, Crop Science, or other Agriculture related degree program.

Proficient with Microsoft Office software.

Agriculture experience or background knowledge very helpful.

Previous internship experience.

$140,000 to $175,000, eligible for annual bonus, as applicable.

401(k) plan with a 2% company contribution and 6% company match.

Work-life balance with vacation, personal time and paid holidays.

Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments , and several years of experience integrating AI, MLOps into full-stack applications.

Experienced in designing and shipping production Generative AI-based applications with agentic architectures, with strong skills in prompt engineering, orchestration frameworks (e.g., LangChain, LangGraph, or similar), tool/function calling, structured outputs, model selection, and LLM evaluation.

Experienced in full-stack development(backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG , and strong skills in Python , TypeScript , git, SQL, CI/CD pipelines, automated testing , and DevOps best practices.

Experienced in AWS services , particularly Bedrock, SageMaker, S3 , Lambda , and infrastructure as code (CDK). Extensive experience applying software engineering design patterns andenterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications.

Experienced in data science , machine learning techniques , and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance.

Advanced degree in an analytical field.

Familiarity with single or multi-cloud agentic architecture for building LLM-based applications.

Proven experience withMLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments.