DontApply.Club
Login Register

AI Engineer

Qualientsolutions — Poland · Posted ~1 week ago

Mid Full-time

Skills

Software Engineering Python SQL Data Analysis AI/ML solutions Production systems Agile methodologies Go Bash Java AI/ML RAG

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary

A global engineering team is looking for an AI engineer who can build, deploy, and operate production AI services. The position requires strong programming skills, analytical thinking, and the ability to turn complex business needs into reliable technical solutions.

Highlights

Role focused on building scalable AI solutions, transforming prototypes into reliable production services, and collaborating in an international engineering environment.

Description

Skills Required: Essential • Strong hands-on software engineering experience delivering production services (design, build, test, deploy, operate). • Strong analytical skills with experience using data to identify opportunities and measure outcomes (e.g., logs/telemetry, operational metrics, product analytics, SQL/Python). • Strong scripting/programming skills (Python preferred; Go/Bash/Java also useful depending on stack). • Experience taking prototypes into production, including non-functional requirements (security, resilience, performance, observability, supportability). • Ability to work effectively with product teams to translate ambiguous problems into deliverable engineering work. • Working experience in Agile methodologies. • Strong documentation, collaboration mindset. • Fluency in written and spoken English and comfortable working in a multi-cultured/global environment. Desirable • Experience delivering AI/ML or GenAI solutions (e.g., model integration, RAG patterns, evaluation approaches, prompt/tooling patterns). • Familiarity with Responsible AI / governance expectations (privacy, bias, auditability, model risk, technology controls), especially in regulated environments. • Experience with engineering practices (containers/Kubernetes, CI/CD, IaC, secrets management, API gateways). • Experience building reusable “paved road” enablement for other teams (golden paths, templates, internal developer tooling).