Senior Software Engineer
ML6 is hiring a Senior Software Engineer in Eindhoven and Munich. It pays €80k-€100k a year and Level rates it ; you can apply on ML6.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- The posting mentions RAG, AI agents and MLOps among its tools and skills.
- Level classes it as a senior role.
- ML6 has 13 other open roles on Level.
AI in this role
Stop building AI that never meets production. Build systems that actually make an impact. Most AI roles stop at tweaking models or working on proof-of-concepts. Yours won’t.
We are currently looking for senior talent to help shape the technical solutions in one of our GenAI domains (Emerging or Customer Experience).
In the Emerging Domain, you will focus on cutting-edge innovation to build what others are only reading about. You will work on topics such as autonomous AI agents, advanced work assistants, and Agentic AI platform engineering.
Read more about one of our cases here.
In the Customer Experience (CX) Domain, your focus will be on redefining the user journey. Your mission is to work on advanced Retrieval-Augmented Generation (RAG) systems and conversational AI.
Read more about one of our cases here.
WHAT'S IN IT FOR YOU
Take up a tech lead role on a per-project basis
Work end-to-end: from data to production
See your solutions live in real-world environments
Combine software engineering with AI and business impact
High ownership and autonomy in your work
Collaborate with smart, driven engineers
YOUR IMPACT
You are more than an engineer. You are a Tech Lead, builder, and consultant in one.
Design and build robust software systems for our end-to-end (Gen)AI solutions
Take systems from idea to production deployment
Make architecture decisions and ensure scalability
Lead teams of engineers
Translate business challenges into technical solutions
Work with Python, GenAI, and cloud technologies (AWS/GCP/Azure)
Explore, design and implement software and cloud architecture with a focus on security, reliability, scalability, testability, etc.
Lend your technical expertise to client conversations to successfully start new opportunities
Time allocation: 70% client project work + 30% research, internal (domain) work and more. Note that ML6 is not an outsourcing firm, our agents work on projects together with a team of colleagues where autonomy is highly valued.
WHAT YOU BRING
4+ years of working experience, working on architecting and engineering large scale applications and services in a cloud environment
Proficiency in Python
Proven track record in delivering end-to-end solutions (to production)
Affinity with the GenAI space and Agentic workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Strong communication skills (technical and non-technical) in English
Familiarity with MLOps principles and a passion for building robust, scalable systems
Experience leading projects or small technical teams
Please note that relocation outside of Europe is currently not possible for this position.
WHY ML6
Less talking, more doing. Join us and push the boundaries of AI.
Driving seat: Whether you want to grow further in your role or expand scope and responsibilities at one point, we shape the path together and provide support to accelerate your career in our fast evolving environment.
Take ownership from day one: We want you to act like a shareholder—so we make you one. We provide stock options, ensuring you truly share in our collective success.
Value driven innovation: Our work is guided by a commitment to Do Good and Excellence in Delivery. You’ll work on challenging, diverse projects where your passion for technology creates a real-world impact.
Transparent rewarding: We offer an attractive, optimized total package (salary scale for senior roles typically ranges between €80k – €100k gross/year in Germany and the Netherlands; €68k – €83k for Belgium gross/year + additional benefits and bonuses). Your salary depends on your expertise and impact. This expertise will be translated to a level and scope group on our salary grid and will be defined during the hiring process. Check out our Reward Philosophy to read more about this.
How we rate this
Senior Software Engineer at ML6 rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, and ML Ops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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