Design and build end-to-end agentic systems capable of multi-step reasoning, planning, and tool execution.
Develop AI-assisted development workflows that accelerate how software is written, tested, and iterated.
Build agent evaluation frameworks (offline + online) to measure quality, reliability, and system behavior.
Implement feedback-driven systems that continuously improve outputs using real-world signals.
Architect and integrate MCP-based systems to standardize interactions between models, tools, and services.
Develop multi-agent workflows with coordination, delegation, and dynamic task execution.
Build scalable services (APIs, pipelines, event-driven systems) supporting real-time and batch use cases.
Introduce patterns for observability, debugging, and traceability in AI-driven systems.
Rapidly prototype and iterate on new system behaviors, workflows, and interaction models.
Contribute to shaping engineering practices for AI-native application development.

Requirements

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
Option 2: 6 years’ experience in software engineering or related area.
Experience building production systems that integrate AI/ML components into real-world applications.
Familiarity with LLM-based systems, agent workflows, or tool-augmented models.
Hands-on work with evaluation, feedback loops, or iterative system improvement.
Ability to design and ship end-to-end solutions quickly, balancing experimentation with reliability.
Comfort working in open-ended problem spaces with evolving requirements.
Proficiency in Python and modern backend development, with an emphasis on building usable systems.
Experience integrating external tools, APIs, or structured data into intelligent workflows.
Strong ownership mindset with a focus on shipping, learning, and improving systems continuously.
Bonus/Signals: Experience building AI-powered developer tools or automation systems.
Work on agent frameworks, orchestration layers, or evaluation harnesses.
Familiarity with protocol-driven systems (e.g., MCP or similar abstractions).
Interest in human-AI interaction, rapid prototyping, or unconventional system design.
Track record of building things quickly and iterating based on real feedback.

Benefits

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonAI/ML integrationbackend developmentAPI developmentevent-driven systemsmulti-agent workflowsagent evaluation frameworksiterative system improvementobservability patternsprototyping

Soft Skills

strong ownership mindsetability to balance experimentation with reliabilitycomfort with open-ended problem spacesfocus on shipping and learningiterative feedback incorporation

Certifications

Bachelor's degree in computer scienceBachelor's degree in computer engineeringBachelor's degree in computer information systemsBachelor's degree in software engineering