Staff Applied AI/ML Software Engineer

Cypress HCM; Bellevue (WA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health, dental, and vision insurance (

Life and disability coverage

401(k) with company match

Paid time off + birthday day off

13 holidays + 5 recharge days

Professional development reimbursement

Cell phone, wellness, and internet Re‑

Fully paid parental leave (up to 22 w)

Job summary

Cypress HCM in Bellevue, WA is seeking senior software engineers to own the end-to-end development of LLM-powered systems. You will design and deploy RAG-powered features and integrate LLM services into our products and data ecosystem, while driving architectural decisions and maintaining high quality.

We value hands-on experience with agent frameworks, prompt engineering, and cloud deployments. This role offers a hybrid in-office schedule (3 days/week) and strong growth opportunities.

Qualifications

• 9+ years of software engineering experience.
• Experience owning end-to-end systems including APIs and deployments.
• Hands-on building LLM-powered features in production.
• Experience with RAG architectures and vector databases.
• Strong prompt engineering and quality evaluation skills.
• Familiarity with ML concepts and judging when traditional ML wins.
• Experience with agent frameworks and tool-use patterns.
• Cloud experience, preferably AWS (EC2, S3, Bedrock).
• Self-starter, organized, works independently, collaborative with stakeholders.

Responsibilities

• Own full software development lifecycle of LLM-powered systems from requirements to production deployment.
• Design and implement retrieval-augmented generation and multi-step reasoning workflows.
• Integrate LLM services into products, tools, and data ecosystem.
• Drive architectural decisions balancing capability, cost, latency, and maintainability.
• Establish evaluation frameworks and metrics for quality and impact.
• Define product capabilities with stakeholders and build new features.
• Champion coding quality, testing, and best practices across the team.
• Mentor engineers on LLM applications and patterns.

Skills

LLM development

RAG architectures

Prompt engineering

End-to-end systems

System design

Cross-functional collaboration

Education

N/A

Tools

Vector databases

Embedding models

Agent frameworks

Function calling

AWS Bedrock

Job description

Also open to senior-level software engineers (5+ years)

Location: Bellevue, WA | Hybrid: In the office 3 days per week | Employees: 150 | Industry: AdTech

Responsibilities

• Own the full software development lifecycle of LLM-powered systems, from requirements through production deployment and operational health
• Design and implement retrieval-augmented generation (RAG) systems, tool-use patterns, and multi-step reasoning workflows
• Integrate LLM-based services into the company’s products, internal tools, and data ecosystem
• Drive architectural decisions balancing capability, cost, latency, and maintainability
• Establish evaluation frameworks and metrics to measure application quality and business impact
• Work with stakeholders to define product capabilities and build new features and integrations
• Champion excellence in coding, testing, and quality across the team and culture
• Mentor engineers on LLM application development patterns and best practices

Requirements

• 9+ years of experience in software engineering
• Experience designing and owning systems end-to-end, including 3-tier architectures, data flows, APIs, deployments, operations
• Hands-on experience building LLM-powered features in production
• Experience with RAG architectures - vector databases, embedding models, retrieval strategies
• Practical prompt engineering skills, with demonstrated ability to iterate and evaluate quality
• Familiarity with core ML concepts (classification, evaluation metrics, embeddings) and the judgment to know when traditional ML outperforms LLM-based solutions
• Experience with agent frameworks and tool-use patterns (MCP, function calling)
• Familiarity with cloud environments (AWS preferred: EC2, S3, Bedrock)
• Self-starter who is organized, works independently, and is comfortable with ambiguity
• Experience collaborating with engineers and non-technical stakeholders
• 100% employer-paid health, dental, and vision (including dependents and spouse/domestic partner), long-term disability and life insurance, 401(k) with company match, open PTO plus a birthday day off, 13 holidays, 5 recharge days, professional development reimbursement, cell phone, wellness, and internet reimbursement, fully paid parental leave (up to 22 weeks primary caregiver, 12 weeks secondary), and dog-friendly offices with pet adoption reimbursement