Ai Solutions Engineer (Qa & Prototyping)

Dash Bpo; Gauteng; On-site; ZAR 400 000 - 600 000; Full time

Job summary

A leading AI solutions provider in Gauteng is seeking an AI Solutions Engineer to design AI prototypes, ensure quality assurance, and analyze data. Ideal candidates will have a degree in a related field and strong experience in QA methodologies, test automation, and conversational AI platforms. This role offers opportunities to impact solution outcomes and directly engage with clients.

Qualifications

• Must have strong foundation in QA methodologies.
• Hands-on experience with conversational AI platforms and APIs required.
• Fluency in English (C1+) is essential.

Responsibilities

• Design and build small-scale AI prototypes and POCs.
• Develop and execute automated and manual test plans.
• Analyze customer conversations and system outputs.

Skills

QA methodologies

Test automation (Selenium, Playwright, Cypress)

API testing (Postman, Karate, RestAssured)

Conversational AI platforms

Data analysis skills (SQL, Python)

Excellent communication

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

AWS

Azure

GCP

Job description

AI Solutions Engineer (QA & Prototyping) Position Overview We are seeking multifaceted AI professionals who can function as Swiss Army Knives within our team.

These individuals will not only ensure quality assurance and testing coverage but also design and build small-scale AI prototypes, proof-of-concepts (POCs), and automation flows.

They will move seamlessly between QA, development, data analysis, and client-facing collaboration, ensuring our solutions are reliable, innovative, and ROI-driven.

This role is not about narrowly keeping systems running—it is about owning outcomes, driving innovation, and guiding the business and technical stakeholders in leveraging AI.

Key Responsibilities

Prototyping & Development : Design and build small-scale AI prototypes, POCs, and automation workflows.

Experiment with LLMs, APIs, and conversational AI tools to validate use cases.

Support rapid iteration of ideas into functional demos.

Quality Assurance & Testing : Split responsibilities across QA and engineering to ensure quality across AI features.

Develop and execute automated and manual test plans for bots, APIs, and integrations.

Own bug tracking, defect leakage prevention, and release sign-off.

Data Analysis & Insights : Analyze customer conversations, training data, and system outputs.

Identify trends, gaps, and improvement opportunities in AI / automation performance.

Contribute to ROI modeling and performance reporting for stakeholders.

Operations & Security Awareness : Implement monitoring, observability, and fallback strategies for AI systems.

Ensure compliance with PII, PCI, and security-sensitive workflows (credit cards, PHI, etc.).

Translate complex AI risks into clear business terms.

Collaboration & Client Engagement : Act as a bridge between developers, business stakeholders, and clients.

Participate in client discovery sessions, demos, and feedback loops.

Communicate technical issues and outcomes in non-technical terms.

Continuous Learning & Leadership : Stay current on AI / automation trends, tools, and best practices.

Act as a self-learner who drives knowledge-sharing across the team.

Take ownership of initiatives, leading others in quality, prototyping, and delivery.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience.

Strong foundation in QA methodologies, test automation (Selenium, Playwright, Cypress, Appium), and API testing (Postman, Karate, RestAssured).

Hands-on experience with conversational AI platforms (Amazon Lex, Salesforce Einstein Bots, Voiceflow, etc.) and AI / LLM APIs (OpenAI, Anthropic, ElevenLabs).

Data analysis skills, including SQL, Python (Pandas), or equivalent.

Familiarity with CI / CD, scripting (Python, Bash), and cloud environments (AWS, Azure, GCP).

Excellent communication, collaboration, and client-facing skills.

Business acumen—ability to connect AI features with ROI and operational impact.

Fluency in English (C1+).

Nice to Have

Experience with experimentation frameworks (A / B testing, prompt evaluation).

Familiarity with observability / eval tools (Langfuse, Arize, W&B, Grafana).

Background in cost / latency optimization for AI APIs.

QA certifications (ISTQB) or Agile certifications (Scrum / SAFe).

Benefits

This role is ideal for curious, self-driven professionals who want to grow beyond silos.

You will have the opportunity to work across prototyping, QA, data analysis, and client engagement, directly impacting ROI and solution outcomes, and leading from the front—guiding our team and clients in how AI can deliver value.

We are an equal opportunities employer and welcome applications from all qualified candidates.