AI Solution Engineer
At a glance
Mid-level Solutions & Sales Engineering role at TestYantra Software Solutions. Krakow · contract.
Pay not stated Solutions & Sales Engineering salary
growthroles summary, based on the employer's posting.
What you'll do
- Build AI solutions for operations, such as runbook search, incident summaries and change-risk assistance
- Create integrations using APIs, webhooks or event-driven approaches, with monitoring and audit trails
- Use logs, metrics, traces and alerts to identify engineering priorities and improvements
- Develop reusable engineering standards, reference implementations and automation paths for other teams
What you bring
- You have hands-on experience shipping software or automation into production operations
- You bring strong scripting skills, preferably in Python, plus experience connecting systems
- You have implemented operational AI solutions and understand responsible AI practices, including human review and auditability
- You communicate fluently in written and spoken English and have delivered work across teams amid ambiguity
Who this fits
This mid-level contractor role suits an engineer who can deliver production changes safely, collaborate across teams and document work clearly. It also calls for agile delivery experience and a DevSecOps approach.
From the employer
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.
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