Lead Software Development Engineer in Test - AI

HighLevel; India; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

HighLevel in India is looking for a Lead Software Development Engineer in Test to drive QA initiatives and architect automation frameworks for AI products. This role emphasizes leadership and influence across teams while establishing best practices in AI testing.

The ideal candidate will have over 7 years of experience in QA/SDET roles and deep expertise in AI tools. Responsibilities include shaping the AI quality roadmap and owning the quality charter for the AI vertical, ensuring high standards and scalable testing.

Qualifications

• 7+ years of overall experience in QA/SDET roles.
• Deep expertise in AI tools & model testing.
• Proven experience in architecting large-scale, reusable, cross-platform automation frameworks.

Responsibilities

• Define overall QA strategy and architect automation frameworks.
• Drive organization-wide quality initiatives for AI products.
• Coach and upskill the entire team.

Skills

AI tools & model testing

Automation frameworks

Leadership and coaching

Problem-solving

Job description

About the Role

We are looking for a Lead Software Development Engineer in Test with deep expertise in AI tools and model testing. This role requires an individual who can define overall QA strategy, architect automation frameworks, and drive organisation‑wide quality initiatives for our AI products. You will own the quality charter for the AI vertical, influence cross‑functional teams, and play a key role in shaping the AI quality roadmap.

Requirements

• 7+ years of overall experience in QA/SDET roles
• Deep expertise in AI tools & model testing, responsible for designing scalable test approaches for RAG, hallucination, drift, and bias
• Proven experience in architecting large‑scale, reusable, cross‑platform automation frameworks
• Strong leadership skills to coach and upskill an entire team, set best practices, and build a talent pipeline
• Ability to influence cross‑functional teams and participate in architecture discussions
• Strong problem‑solving skills with the ability to own decisions on test strategy, tools, frameworks, and AI testing methodologies

Responsibilities

• Define overall QA strategy and architect large‑scale, reusable, cross‑platform automation frameworks
• Drive organization‑wide quality initiatives and own the quality charter for the AI vertical
• Possess deep expertise in AI tools & model testing, responsible for designing scalable test approaches for RAG, hallucination, drift, and bias
• Own decisions on test strategy, tools, frameworks, and AI testing methodologies
• Coach and upskill the entire team, set best practices, and build talent pipeline
• Influence cross‑functional teams, participate in architecture discussions, and align testing with business strategy
• Responsible for end‑to‑end quality strategy at the product/vertical level
• Shape AI quality roadmap, reduce organization‑wide risk, and improve scalability and reliability

Bonus Points

• Experience with CI/CD pipelines and cloud platforms (AWS/GCP/Azure).
• Familiarity with MLOps pipelines and monitoring AI systems.
• Exposure to performance and scalability testing of AI workloads.

EEO Statement

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

We encourage you to review our Privacy Policy before submitting your application.