The majority of your time is spent writing code, architecting scalable solutions, and solving genuinely hard technical problems. You'll bring an AI-native mindset to everything you build — leveraging LLMs, automation, and modern AI tooling to deliver faster, smarter outcomes for clients and the team. You'll work directly with enterprise clients and internal stakeholders to translate complex business requirements into production-grade software, with direct, visible impact on customer retention and satisfaction.
Day in the Life
Integration & Internal Engineering (50%)
Architect and build robust API integrations between our platform and client HR, payroll, and POS systems
Develop and maintain reusable integration frameworks and shared libraries that accelerate delivery across the team
Own the full software lifecycle — from design and development through testing, deployment, and production support
Build data migration pipelines and CSV transformation solutions for enterprise onboarding
Develop two-way payroll integrations with complex business logic and error handling
Build and deploy custom internal tools that improve team efficiency, integration observability, and customer operations
Own infrastructure-as-code and deployment pipelines using Terraform, GitHub Actions, and related CI/CD tooling — you ship to production, not just to staging
Apply AI-native development practices: using LLMs and AI tooling to accelerate development cycles, generate smarter automation, and build more intelligent solutions for clients and internal teams
Technical Leadership & Mentorship (20%)
Review code and provide technical guidance to junior and mid-level engineers on the PS team
Establish and document engineering best practices, integration patterns, and internal tooling standards
Champion AI best practices across the team — helping others understand when and how to use AI tooling effectively and responsibly
Collaborate with Product and Engineering to surface recurring customer pain points and influence the platform roadmap
Customer & Stakeholder Collaboration (20%)
Lead technical discovery sessions with enterprise clients to define integration scope and requirements
Translate complex business and compliance requirements into clear technical specifications
Serve as the senior technical voice in client conversations — able to communicate architecture decisions confidently to both technical and non-technical audiences
Custom Solutions & Tooling (10%)
Build custom reporting tools, enterprise-grade career site implementations, and AI-assisted automation for customers
Develop internal tooling and dashboards to improve team efficiency, reduce manual work, and scale PS delivery
Who You Are
Engineering Depth: You write clean, production-quality code and take ownership of what you ship. You think in systems, not just scripts.
AI-Native: You don't just know AI exists — you actively use it. You're fluent with LLM APIs, prompt engineering, and AI-assisted development workflows, and you have strong instincts around where AI adds genuine value vs. where it introduces risk
Integration Expertise: Hands-on experience with REST APIs, webhooks, OAuth, and workflow automation platforms (Workato or similar)
DevOps Fluency: You're comfortable with Terraform, GitHub Actions, and CI/CD pipelines — shipping and maintaining production infrastructure is part of your normal workflow, not an afterthought
Technical Leadership: You've mentored engineers, led code reviews, and contributed to engineering standards — not just executed tickets
Problem Solving: You enjoy ambiguous problems and bring structured thinking to novel technical challenges
Communication: You can hold your own in a technical architecture conversation and turn around and explain the same concept clearly to a non-technical customer
Requirements
5+ years of experience in Solutions Engineering, Solutions Consulting, or a related technical customer-facing role
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
Experience designing and consuming REST APIs at scale
Proficiency with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions or equivalent)
Demonstrated AI-native development practices — active use of LLM APIs, AI tooling, or AI-assisted workflows in prior roles
Familiarity with version control and collaborative development workflows (GitHub)
Experience with workflow automation platforms (Workato, Zapier, or similar)
Must be willing to work during US business hours
Nice to Have
Proficiency in Python and TypeScript/JavaScript; comfortable owning backend services while being capable across the stack
Prior experience in SaaS implementation, professional services, or a customer-facing engineering role
Exposure to HRIS, payroll, or POS system integrations
Experience building and maintaining shared internal developer tooling or libraries
Familiarity with MCP (Model Context Protocol) or agentic AI frameworks
Know More About Workstream
https://www.workstream.us/blog/funding-series-b
https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
