AI Consultant | today experts

Feladatok

Onboarding engineering steam end to end: understand how they work today, connect the approach to their existing tools and processes, and get them to a point where AI assisted work is genuinely useful and safe
Coach teams to introduce agents responsibly from simple suggestions toward more autonomous work while keeping humans accountable for decisions
Prove value early by taking a small, real task all the way through the workflow, so teams feel the benefit instead of just hearing about it
Translate AI and agentic concepts into plain language and adapt to each team's domain and risk tolerance
Turn recurring field problems into reusable improvements and bring gaps, patterns, and new requirements back to the core team.

Strong engineering fundamentals: comfortable reading and writing code, working with version control, CI/CD, and the command line
Advanced Python Skills
Hands-on experience with LLMs and agentic tools (coding assistants, agent frameworks, prompt/context design, tool integrations)
Genuinely customer-facing: you can run a workshop, lead interviews, defuse scepticism, and build trust with engineers and managers alike
Written Engineering: you naturally document decisions and explain complex ideas simply
Systems mindset: you can map how a team's tools, data, and processes fit together and spot where AI adds real leverage versus risk
Fluent English is required
Comfortable with frequent travelling to partners

Experience integrating with common engineering tools (e.g. Jira, Polarion, Confluence, GitLab, GitHub, SonarQube, Engineering Tools such as MagicDraw, Comos, ...) via APIs, webhooks, or MCP.
Background in regulated, safety-relevant, or hardware/systems engineering environments.
Prior work in developer experience, solutions/forward-deployed engineering, technical consulting, or platform enablement
Familiarity with requirements engineering, test management, or quality/compliance practices
German language skills