AI Engineer (GCP / RAG / Python)

What will you do?

We’re looking for a hands-on AI Engineer who can design, build, and operationalize production-grade AI systems - while also acting as a trusted technical advisor to clients and a partner to our CTO. This is a role with real impact.
You will influence how we architect, standardize, and deliver GenAI solutions across engagements: from discovery and solution design, through implementation, to production hardening and continuous improvement.
You’ll combine strong engineering fundamentals with consulting skills: framing problems, assessing feasibility, leading technical discussions, and making architectural trade-offs that stand up to enterprise scrutiny.

Responsibilities

Build & Ship

• Develop and deploy enterprise-grade GenAI applications: conversational search, RAG systems, multimodal agents, and domain-specific classification services.

• Build robust data and language-processing pipelines using Python, LangChain, and cloud-native components.

• Implement retrieval architectures using Vertex AI Search, Vector Search, or other vector database solutions.

• Optimize GenAI solutions for quality, reliability, latency, and cost - including RAG tuning and targeted fine-tuning where justified by business value

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Production Readiness

• Define and implement evaluation frameworks: automated tests, regression checks, hallucination/faithfulness indicators.

• Set up monitoring for model performance, app reliability, and business-aligned KPIs.

• Establish best practices around deployment, versioning, observability, incident reviews, and repeatable delivery patterns.

Advisory & Client-Facing Work

• Translate business goals into viable, scalable GenAI architectures on Google Cloud - with clear assumptions, risks, and acceptance criteria.

• Lead or co-lead discovery and feasibility workshops, focusing on use case framing and data readiness within the GCP ecosystem.

• Support presales: providing solution options, delivery approaches, and realistic implementation plans.

What we are looking for

• 2-5+ years of hands-on AI/ML development experience, including LLMs and NLP.

• Strong Python engineering skills; practical experience with LangChain, Streamlit, and ML frameworks.

• Solid understanding of RAG architectures and LLM fine-tuning.

• Familiarity with the end-to-end AI/ML lifecycle, evaluation methods, efficiency metrics, and deployment patterns.

• Ability to communicate clearly with both technical and non-technical stakeholders

• Proficiency in English.

Nice to have

• Experience delivering AI solutions in consulting environments.

• Awareness of GenAI-related security considerations: PII, access control, prompt injection, data residency.

• Experience designing systematic evaluation frameworks for LLMs.

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

What we offer

We work with global enterprise clients on high-impact data & AI initiatives - which means real architectural challenges, technical ownership, and room to grow.

• Remote-first, flexible working model

• Projects involving building modern data & AI platforms from scratch

• Private healthcare, insurance, Multisport

• Full working equipment

• 1,000 PLN annual development budget for training, certifications, conferences

• Regular knowledge-sharing sessions and mentoring

• Collaboration with international clients (Switzerland, France, UK, US, UAE, and more)

• A real team culture built on trust, autonomy, and high standards

• Team integrations, without the awkward corporate vibe