Level

ML6

Senior Software Engineer

AI in this role

ragai-agentsml-ops

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. 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 score this

Senior Software Engineer at ML6 scores 86 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagAI AgentsMl Ops

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. How would you decide a model or AI system is ready to ship?
  5. 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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