Mid/Senior Software Engineer, Gen AI

WillHire

. Lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making .

Posted 4/7/2026full-timeBoulder • Colorado, Oregon • 🇺🇸 United StatesSenior💰 $171,600 - $257,400 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerETLGoogle Cloud PlatformJavaPython

About the role

Key responsibilities & impact

Lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making
Embed secure, scalable, and reliable agentic capabilities into core Adaptive Planning features
Collaborate with extraordinary engineers and product managers to bring ideas to life
Lead the full AI development lifecycle—problem framing, data prep, design & development, deployment, evaluation, and continuous improvement
Harness Workday Adaptive Planning’s vast enterprise datasets to tune and optimize your AI models for high-value outcomes
Provide technical guidance to junior engineers
Conduct critical code reviews and unblock the team on deep technical hurdles

Requirements

What you’ll need

4+ years experience working on a data science, machine learning or related software development team
4+ years experience with Python supporting ML/AI libraries, with experience in shipping secure, production solutions
4+ years of experience in object oriented programming with Java
5+ years experience in SaaS software development
Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
A PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering is highly desired
Extensive experience with large language models (LLM), retrieval augmented generation (RAG) systems, semantic search and text embedding models, transformer neural networks, and related frameworks
Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)
Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring
An ability to balance speed with delivering high-quality, practical solutions
Shown perseverance in overcoming significant problems.
Strong focus on delivering high-quality software products, continuous innovation, and you value test automation and performance engineering

Benefits

Comp & perks

Workday Bonus Plan
Role-specific commission/bonus
Annual refresh stock grants

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningAI development lifecycleobject oriented programmingJavalarge language modelsretrieval augmented generationsemantic searchtext embedding modelstransformer neural networks

Soft Skills

technical guidancecollaborationproblem framingperseverancebalancing speed and qualitycontinuous improvementcritical thinkinginnovationcommunicationleadership

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in MathematicsBachelor's degree in EngineeringPhD in Computer SciencePhD in MathematicsPhD in EngineeringMS in Computer ScienceMS in MathematicsMS in Engineering