Senior Software Engineer in Test - Replicant

At Replicant, we believe AI should work for people, starting with customer service. We’re looking for a Software Development Engineer in Test (SDET) to help raise the bar for quality across our voice AI platform as we continue to scale.

What You'll Do

• Act as a senior technical authority for quality engineering at Replicant; shaping how quality is built into the platform through hands-on engineering, championing a high bar across teams, and driving the practices and execution that make it real.
• Raise the technical bar across our team of AI-enabled QA Engineers through hands-on example, code and test review, pairing, and mentorship.
• Help drive Replicant's AI-native quality engineering strategy to scale coverage, accelerate validation, and surface failures earlier.
• Build AI-driven testing workflows that let a small team deliver broad, scalable validation across the platform.
• Own the quality feedback loop from internal dogfooding, customer A/B testing, customer feedback triage, and bug reporting.
• Partner with Product and Engineering early to improve testability, shape acceptance criteria, and build quality in from the start.
• Build and improve automation frameworks, validation tooling, and CI/CD quality gates for reliable, repeatable releases.
• Use AI and analytics to expand edge-case coverage, summarize failures, and generate insights that inform roadmap and release decisions.

What You'll Bring

• 5+ years in SDET or quality engineering roles, with significant hands-on coding and ownership of test strategy in complex software systems.
• Strong programming skills in at least one modern language (TypeScript, JavaScript, or Python).
• An AI-native approach to quality engineering with the ability to leverage AI to move faster and build smarter testing workflows.
• Curiosity about AI systems, conversational experiences, and the nuances of testing voice-driven product behavior.
• Experience building quality initiatives across teams and influencing engineers, product managers, and stakeholders.
• Deep knowledge of modern testing practices, including automation, API/integration testing, regression strategy, and CI/CD-based quality workflows.
• Demonstrated mastery of test design, risk-based coverage, and what should be automated versus explored manually.
• Comfort using data, metrics, and analytics to evaluate quality and communicate trends and risk.
• Excellent collaboration and communication skills across Engineering, Product, and customer-facing teams.

Nice To Have

• Experience testing AI and LLM-powered systems, including evaluating non-deterministic behavior, hallucinations, and prompt/workflow regressions.
• Experience working in an FDE, delivery, or professional services environment with a strong understanding of customer-facing implementation workflows.

Benefits & Perks

• In-person connection: Company-wide offsites and smaller team gatherings.
• Tech & learning stipend: Funding for conferences, books, and courses.
• Remote by design: Distributed work culture with trust and flexibility.
• Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, and physical/mental well-being stipends.
• Compensation & Equity: Competitive salary and shared ownership in a fast-growing AI company.