Senior AI Engineering Consultant
Atos is hiring a Senior AI Engineering Consultant in Warsaw, Poland. Level rates it ; you can apply on Atos.
Level's read on this job
- Level rates this AI engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Claude, Copilot and Claude Code among its tools and skills.
- Level classes it as a senior role.
- Atos has 609 other open roles on Level.
- Posted in the last few days.
AI in this role
Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
About Atos Group
Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
Senior Fullstack AI Engineer – Consulting
Job Summary
We are looking for an experienced Senior Fullstack AI Engineer to join our Consulting team. You will independently turn complex and initially ambiguous product ideas into secure, maintainable, and user-friendly solutions.
This is a hands-on engineering role combining modern backend development, frontend development, and AI capabilities. You will contribute throughout the full development lifecycle—from domain discovery and technical design to implementation and production deployment—while maintaining ownership of the solutions you deliver.
Responsibilities
- Translate complex and initially ambiguous product ideas into well-designed software solutions.
- Design and develop end-to-end features integrating backend, frontend, database, and AI capabilities.
- Contribute throughout the development lifecycle, including domain discovery, technical design, implementation, and production deployment.
- Take ownership of features and services from requirements through delivery to production.
- Ensure solutions are secure, maintainable, user-friendly, and delivered to a high standard in production environments.
Required Skills and Experience
- Hands-on Python and FastAPI experience in a developer role within the last 2 years.
- Experience shipping at least one LLM feature with structured output using Pydantic AI, Instructor, or a comparable library.
- Experience meeting at least two of the following four criteria:
- Applying systematic AI evaluation in a project, such as an eval harness, LLM-as-judge, or quality metrics.
- Delivering a production frontend using React or Angular.
- Performing application-level database work with MongoDB or SQL within service code.
- Owning at least one feature or service end to end, from requirements through production.
- A strong hands-on engineering background with recent software development and coding experience.
- Application backend engineering experience. Data science or MLOps expertise may complement but does not replace this requirement.
- English proficiency at B2 level.
Experience Considered an Advantage
- Experience applying Domain-Driven Design.
- Knowledge of accessibility practices.
- Experience with Azure Container Apps.
- Daily use of AI coding tools such as Claude Code or Copilot in a developer role.
What We Offer
- Hybrid work you can truly shape – friendly model designed for real work-life balance (max. 2 office days per month, depending on location)
- Choose the cooperation model that fits you – Employment Contract or B2B
- Attractive compensation package reflecting your expertise and impact, plus annual bonus
- Opportunity to influence technical decisions, architecture, and delivery standards
- Work with global clients on complex enterprise-scale projects
- Private medical care and mental health & wellbeing support programs
- Benefits platform with shopping, cinema, and sports discounts
- Stay active – Multisport + b-active
- Dedicated support for certifications, advanced training, and professional development
- Participate in conferences, expert communities, and knowledge-sharing initiatives
- Opportunities to mentor others and grow into technical leadership or architecture paths
- Gift packages and recognition programs
- Additional days off and enhanced experience-based benefits
- Charity and eco initiatives
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.
How we rate this
Senior AI Engineering Consultant at Atos rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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 AI engineer jobs at this level
Pay
- Typical AI engineer job
- $182k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide that one model's output is better than another's for a given task?
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ML Ops, AI Evaluation, Claude, Copilot, and Claude Code. 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.
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