AI Solution Engineer

TestYantra Software Solutions; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

TestYantra Software Solutions is seeking a seasoned software engineer to deliver production services and automation in an operational environment. The role emphasizes observability, Python scripting, and API/webhook integrations to enable reliable, scalable systems.

The candidate should bring DevSecOps mindset, cross-team collaboration, and experience with GenAI in operations to improve incident handling, runbooks, and automation paths. Fluent English is required.

Qualifications

• Hands-on software engineering delivering production services or automation.
• Expertise in observability data (logs, metrics, traces, alerts) to drive improvements.
• Proficient in Python scripting and API/webhook integrations.
• Strong DevSecOps and continuous delivery mindset; frequent, high-quality changes.
• Builds production-ready tooling with monitoring, audit trails, and supportability.
• Ability to lead across multiple teams and manage dependencies.
• Experience with Agile delivery; solid documentation and collaboration.
• Fluent written and spoken English.
• Experience implementing AI/GenAI for operations (RAG, etc.).
• Awareness of Responsible AI, human-in-the-loop and auditability.
• Develop engineering standards and reusable automation paths.

Skills

Production software engineering

Observability data

Python scripting

APIs & webhooks

DevSecOps

Observability tooling

Cross-team leadership

Agile delivery

English fluency

GenAI in operations

Responsible AI

Engineering standards

Job description

Skills and Experience required :

• Strong hands-on software engineering experience delivering production services and/or automation in operational environments.
• Strong experience with observability and operational data (logs, metrics, traces, alerts) and using evidence to drive engineering prioritisation and improvement.
• Strong programming/scripting skills (Python preferred) and experience building integrations (APIs, webhooks, event-driven patterns).
• Strong DevSecOps and continuous delivery mindset; able to deliver small, safe changes frequently with high quality.
• Experience building production-ready tooling with robust monitoring, audit trails, and supportability.
• Proven ability to lead through ambiguity and deliver across organisational boundaries (multiple teams, competing priorities, dependency management).
• Agile delivery experience; strong documentation and collaboration habits.
• Fluency in written and spoken English.
• Experience implementing AI/GenAI solutions for operations (RAG over KB/runbooks, incident summarisation, change-risk assistants, evaluation/quality frameworks).
• Familiarity with Responsible AI expectations and operating model considerations (human-in-the-loop, auditability, incident handling for AI).
• Experience producing engineering standards, reference implementations, and automation “golden paths” for broader reuse.