Job description

About Us

Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK.

Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth.

About the Role

We are looking for an AI Software Engineer with experience in software testing and automation and hands-on exposure to AI-assisted engineering workflows. You should be comfortable using tools such as Claude Code, Codex, ChatGPT, or similar AI tools to speed up development, testing, debugging, and documentation — while applying engineering judgment to verify correctness and production readiness.

This role involves working on unfamiliar codebases, diagnosing complex issues, improving test coverage, and supporting production systems. We are looking for someone who can independently investigate problems, validate fixes, and take ownership of reliability and quality.

Key Responsibilities

Design and execute manual and automated tests for web applications, APIs, and backend services
Build and maintain test automation frameworks and improve regression coverage
Use AI tools for code analysis, test generation, refactoring, and documentation, and verify all outputs before shipping
Investigate production issues using logs, traces, metrics, and reproductions
Work closely with Product, Engineering, and QA teams to resolve defects and improve system reliability
Maintain clear test reports, troubleshooting notes, and technical documentation

Required Skills

2–4 years of experience in QA Automation, Test Engineering, or Software Engineering
Strong understanding of software testing fundamentals, API testing, regression testing, and defect management
Hands-on experience with tools such as Playwright, Selenium, Cypress, or Postman
Proficiency in Python or JavaScript/TypeScript
Experience with REST APIs, Git, and version control workflows
Familiarity with AI tools (ChatGPT, Claude, Codex, etc.) and their use in engineering workflows
Strong debugging, analytical, and problem-solving skills
Ability to work independently and own issues through resolution

Good to Have

Exposure to LLM integrations, RAG, or AI-powered applications
Experience with Docker, CI/CD pipelines, and cloud environments
Knowledge of PostgreSQL or other databases
Basic scripting or automation using Python APIs

What We’re Looking For

We value engineers who can balance automation with manual verification, debug systems methodically, and take ownership of problems rather than waiting for detailed instructions. The right candidate is comfortable with AI tools, but not dependent on them.

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