Generative AI Engineer

Principal Software Engineer GenAI Applications

Software testing is changing. From scripted automation to intelligent, self-evolving systems.

At Qualitia, were embedding GenAI into our platform to rethink how testing, analysis, and automation are done. This isnt experimentation on the side. Its a shift in how our product thinks, learns, and scales. Were looking for someone who wants to lead that shift.

About Qualitia

Qualitia is a world-leading product company and a pioneer in scriptless, AI-native test automation.

For 15+ years, weve helped global banks, insurers, and stock exchanges ship software faster and with confidence. Our flagship product, Qualitia Boson, is an AI-native, self-healing test automation platform built for Salesforce, eliminating script maintenance and enabling one-click test generation.

What this role really is

This is not just another AI role.

You will:

• Define how GenAI capabilities are built into a real product
• Design AI workflows using LLMs, RAG, and agentic systems
• Turn ambiguous AI use cases into production-ready solutions
• Work across backend, data, and product layers
• Help teams move from experimentation to reliable systems

What youll work on

• GenAI-powered features for testing, automation, and analysis
• LLM applications, RAG pipelines, prompt workflows, and AI agents
• Backend services, APIs, and AI orchestration (Python + existing stack)
• Vector databases, embeddings, retrieval, and context design
• AI quality: hallucination control, evaluation, traceability, reliability

What were looking for

• Experience building real GenAI applications (LLMs, RAG, APIs)
• Strong software engineering fundamentals and architecture experience
• Hands-on with Python + backend systems (Java/Spring Boot or similar)
• Understanding of vector DBs, embeddings, and AI workflows
• Ability to make practical decisions balancing accuracy, cost, and scale
• Someone who can guide teams in uncertain, evolving problem spaces

Why this role matters

The decisions made here wont just impact featurestheyll define how AI is built into our product.

Youll help build systems that:

• move from prompts to production
• are reliable, explainable, and scalable
• differentiate our platform through real AI capability