AI Test Engineer

AI Test Engineer

Posted 1 week ago by Infoplus Technologies UK Ltd

Negotiable
Undetermined
Undetermined
Manchester, UK

Summary: The AI Test Engineer role involves executing and contributing to AI testing and evaluation, with a focus on data analysis and system behavior. Candidates will design experiments using synthetic data and work with AI platforms to support testing and reporting. Strong problem-solving and communication skills are essential, along with hands-on experience in AI technologies. Team collaboration is also a key aspect of this position.

Key Responsibilities:

  • Execute and contribute to AI testing & evaluation (including R/AI) with hands-on experience in analysis logs, observability data, and system behavior.
  • Design and run experiments using synthetic data, including building voice agents to simulate calls and validate journeys at scale.
  • Work with AI platforms (GECX/CXAS, GCP stack) to support testing, evaluation, and reporting.
  • Demonstrate strong problem-solving skills and good communication skills, and be a team player.

Key Skills:

  • Strong data-analysis skills.
  • Hands-on experience in AI, including Python and relevant packages/libraries (Gen-AI and Agentic-AI).
  • Experience with AI platforms (GECX/CXAS, GCP stack).
  • Strong problem-solving skills.
  • Good communication skills and teamwork.

Salary (Rate): undetermined

City: Manchester

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Here's a quick JD for AI testing and evaluation.

  1. Execute and contribute to AI testing & evaluation (including R/AI) with hands on experience in analysis logs, observability data, and system behaviour. | strong data-analysis skills
  2. Design and run experiments using synthetic data, including building voice agents to simulate calls and validate journeys at scale. | hands-on in AI --- Python, Python packages, Gen-AI and Agentic-AI packages/libraries.
  3. Work with AI platforms (GECX/CXAS, GCP stack) to support testing, evaluation, and reporting, with strong problem-solving skills.
  4. Good communication skills, must be a team-player.