AI Engineer - Job offer

Location REMOTELY/HYBRID

Contract type B2B

Offer description

Looking for stable projects with modern tech and room to grow?

We are Clouds on Mars, an IT consulting company specializing in architecting and delivering solutions that exceed current technological and domain standards. From cloud and data engineering through AI-driven analytics to web apps and automation - we manage the full project cycle.

How we work

Our 120+ experts, organized into 4 Business Units, manage projects end-to-end - from technical presales and solution design to final delivery. Each team combines specialists from different fields - Data Engineers, BI Consultants, AI Engineers, Solution Architects, Power Platform Consultants, and Project Managers - enabling us to deliver truly comprehensive solutions.

Every role is end-to-end. We don’t just execute tasks - we act as trusted advisors, guiding clients and leading projects from A to Z.

What we stand for

You’ll always have a team to count on and space to try out new ideas. We believe in ownership - your work will drive real change, not just tick boxes.

Here, learning never stops - we grow together and raise the bar step by step. And because we work with respect and passion, you won’t just deliver to clients but build real solutions along with them.

For those who share our mindset, we offer not just projects, but a full-time, long-term partnership.

Technologies we work with

Data Platforms: Microsoft Fabric, Databricks, Snowflake

Power BI / Power Platform: Power Automate, Power Apps, Copilot Studio

Azure AI: Azure Machine Learning, AI Foundry, Cognitive Services, MCP Servers

Engineering: Python, React.js, App Services, Container Apps

Who we are looking for?

We’re looking for a GenAI-focused AI Engineer who can build production-grade AI applications and play a consultative, high-impact role next to our CTO.

This is a key position: you’ll help shape how we design, deliver and operationalize GenAI across engagements - from discovery and solution design, through delivery, to production hardening and continuous improvement.

You’ll be hands-on in implementation, but also comfortable in an advisory mode: framing problems, leading technical workshops, making architecture trade-offs, and supporting the CTO in setting standards and “how we build” across projects.

What you'll do (Delivery + Advisory + CTO Support)

Build & ship GenAI applications (hands-on)

Develop and deploy AI applications such as conversational search, multimodal agents, and classification systems.

Build data and language-processing pipelines using LangChain and cloud-native services.

Implement knowledge-retrieval systems leveraging Qdrant, Elasticsearch, or Microsoft AI Search.

Optimize AI solutions including RAG and fine-tuning (when it makes sense), with focus on quality, latency and cost.

Own production readiness (notebooks → real systems)

Define and implement evaluation & quality gates (automated tests, regression checks, groundedness/faithfulness signals).

Set up monitoring for model/app performance, reliability and business-aligned outcomes.

Drive best practices around deployment, versioning, observability and incident learnings.

Act as a trusted advisor (client-facing)

Translate business needs into scalable AI solutions - with clear assumptions, risks, and acceptance criteria.

Lead or co-lead discovery sessions / technical workshops (use case framing, data readiness, feasibility).

Support technical presales: solution options, scope, implementation approach, and credible delivery plan.

Partner with the CTO (CTO Office)

Help define reference architectures, standards and guardrails for GenAI delivery (security, privacy, governance).

Create reusable accelerators (templates, starter kits, evaluation harnesses, deployment blueprints).

Be the escalation point for complex technical decisions across engagements.

What you bring

2+ years of experience in AI/ML development, including hands-on work with LLMs and NLP solutions.

Advanced Python skills and experience with tools like LangChain, Streamlit, and ML frameworks.

Practical experience with RAG and fine-tuning large language models.

Familiarity with AI/ML lifecycle, efficiency metrics, and deployment practices.

Strong problem-solving skills and the ability to communicate clearly with technical and non-technical stakeholders.

Proficiency in English and Polish.

Nice to have (helps us a lot in this role)

Experience delivering AI solutions in a consulting environment (multiple stakeholders, changing constraints).

Familiarity with security topics relevant to GenAI (PII, access control, prompt injection, data residency).

Experience building evaluation frameworks or systematic LLM testing.

Cloud-native deployment experience (containers, CI/CD, infra patterns).

What’s in it for you

Flexible working hours

Remote / hybrid or work in office – it up to you, but we’d like to meet at the office once a month.

A dedicated Buddy to support you through onboarding

Private health insurance

Co-funding for PZU, Medicover or LuxMed medical packages

Multisport card

Access to training platforms (MS certificates, SQL BI, internal Delivery Excellence Workshops)

Breakfasts, fruit, snacks, and always-chilled drinks in the office

Anniversary gifts and quarterly integration budgets

Paid referral program (up to PLN 8,000)

„It’s good to stay with us” – PLN 2,500 voucher after 3 years with the company

Recruitment process

We respect your time and value transparency. That’s why our recruitment process is straightforward and designed to give you clarity at every stage:

Apply - Send us your CV, and we’ll get back to you quickly.

HR Interview - Up to 1 hour conversation to get to know each other better.

Technical Interview - Another 1 hour to dive into your expertise and see how we can work together.

Decision - No waiting in the dark - within 2 weeks, you’ll receive feedback from us.

Want to explore more about our work, projects, and team culture?

Check out our LinkedIn, visit cloudsonmars.com and check our offerings catalog - catalog.cloudsonmars.ch.