Senior AI Engineer (all genders welcome) - Developer Productivity & SDLC

Rosenxt Group; Niedersachsen; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Flexible working time

Home office possible

Open corporate culture

Local benefits

Job summary

Rosenxt Group seeks a Senior AI Engineer (all genders welcome) to accelerate developer productivity and SDLC tooling across our software teams. You will build AI-powered tools, develop shared capabilities, and drive adoption of AI-assisted development across multiple tech stacks.

This hands-on role requires deep expertise in LLMs, MLOps, and agentic AI, plus strong communication to align stakeholders and govern tool rollouts across a distributed organisation.

Qualifications

• Experience leading ML engineering efforts and building scalable production ML systems.
• Proven ability to design and operate platforms and infrastructure for engineering teams.
• Strong Python, cloud experience, and MLOps practices (CI/CD, monitoring, automation).

Responsibilities

• Evaluate, configure, and maintain AI development tool stack (GitHub Copilot, agents, local LLMs).
• Standardise AI agents interactions and integration with internal tools and workflows.
• Build retrieval-augmented generation over internal documentation.

Skills

Leadership

ML engineering

Python

MLOps

CI/CD for ML

LLMs architectures

Agent frameworks

Communication

Autonomy

Tools

Azure

AWS

GCP

GitHub Copilot

Job description

Toaccelerate AI adoptionandmaximizethe efficiency of our internal processesacross our engineering teams,we areseeking a

Senior AI Engineer (all genders welcome) –Developer Productivity & SDLC

to build AI-powered tools and shared capabilities across the software development life cycle (SDLC**).**

You combine deep expertise in large language models (LLMs), MLOps and agentic AI with the credibility and communication skills to drive change across a distributed engineering organisation spanning multiple technical domains.

Rosenxtis a technologygroup creating innovativesolutionsfor critical infrastructure in harsh environments.Our Software and AI organization spans teams across the world working on everythingfrom data pipelinesto autonomousnavigation, to customer portals.

We are investing in AI-assisted development, shared ML infrastructure, and developer toolingasforce multipliers for our engineering teams. This rolewillbuild andmaintainthose shared capabilities,the platforms, standards, and tools that let teams acrossRosenxtmove faster without solving the same problems independently.

This is a hands-on technicalrole,butalso suits someone able toearn trust throughdemonstratedexpertise, bring people along through clear communication, and navigate theorganisationalcomplexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.

Your first major project will beleadingthe technical implementation ofanAI-assisted development initiative. Tasks may beevaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.

What you can expect

• Evaluate, configure, andmaintainthe AI development tool stack (GitHub Copilot, custom agents, local LLMs).
• Standardisehow AI agents interactand integratewith our internal tools, services, and developmentworkflows with MCP.
• Build retrieval-augmented generation systems overRosenxt’sinternaldocumentation.
• Define andimplementproductivity and quality metrics. Run controlled pilots, measure impact, and use data to drive adoption decisions.
• Ensure AI-assisted development tools and ML systemscomply withinternal governance frameworks andregulationincluding the EU AI Act. Work within established security and IP protection practices.
• Build andmaintainreusable CI/CD templates for ML pipelines.
• Develop andmaintainreusable system prompts for common engineering tasksand complex technical domains.
• Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the wholeorganization.

What you bring

To become part of the Rosenxt family, you are technically deep,practically minded, and forward thinking, and wantto help the team do its best work. Moreover you should bring with you:

• Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience.
• Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact.
• Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows.
• Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation).
• Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models.
• Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering.
• Excellent communication skills to convey complex technical topics clearly to diverse stakeholders.
• Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations.
• High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers.
• Resilient, pragmatic approach with evidence-based iteration in emerging technology areas.

Look forward to

• Development opportunities and career opportunities in aglobal, innovative and long-term oriented group of companies with family character
• Flexible working time, working time accountsand Home Office possible
• An open, informal corporate culture, where we celebrate success with social events
• Depending on the hiring location you may also benefit from local benefits

More information about the Rosenxt Group please click here:

www.rosen-nxt.com