Senior AI Engineer (Python, GenAI, GCP)
We are Primotly - a software house based in Warsaw but we’re not just building software - we’re building relationships that last. If you’re ready to lead exciting international projects and help brands bring their vision to life, let’s talk.

What is unique about working with us?
INTERNATIONAL ENVIRONMENT
The international work environment includes customers from all over the world, but also a diverse team that gives even more opportunities for development and exchange of knowledge.
HIGH AUTONOMY IN OPERATION
We focus on partnership relations. That is why from the very beginning of our cooperation you receive a great credit of trust and freedom of action. You know best what path is best to reach a specific goal. For us, the most important are the effects.
DEVELOPMENT OPPORTUNITIES
We support the development of our employees through courses and certification systems. More experienced colleagues are always ready to provide you with advice, experience or mentoring.
ENGAGING PROJECTS
We are looking for an experienced AI Engineer to design, develop, and operate production-grade AI applications on Google Cloud Platform (GCP). You will work on advanced GenAI solutions, including multi-agent systems, Agentic RAG architectures, multimodal AI applications, and AI-powered SaaS platforms serving multiple tenants and enterprise customers.
This role requires strong software engineering fundamentals, hands-on experience deploying AI systems to production, and a deep understanding of modern LLM frameworks and cloud-native architectures.
Ideal Candidate
You are an engineer who combines strong software engineering discipline with modern GenAI expertise. You have already shipped AI products to production, understand the challenges of operating LLM systems at scale, and can design reliable multi-agent architectures rather than just prototype them. You are comfortable owning solutions end-to-end, from architecture and infrastructure to deployment, monitoring, and continuous improvement.
Technical Requirements:
Multi-Agent AI Systems Development: Design, develop, and deploy production-grade multi-agent AI systems capable of autonomous reasoning, task execution, and orchestration across complex workflows.
Agentic RAG & Multimodal AI Applications: Architect and implement advanced Agentic Retrieval-Augmented Generation (RAG) solutions and multimodal AI applications.
AI-Powered SaaS Platform Engineering: Build scalable, secure, and high-performance AI-driven SaaS platforms that support enterprise-grade deployments.
Cloud Architecture & Infrastructure: Design and maintain cloud-native architectures on Google Cloud Platform (GCP).
Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to translate business objectives into AI-powered capabilities and deliver impactful solutions.
Technical Leadership & Strategy: Contribute to architectural decision-making, technology roadmaps, and long-term AI strategy.
Required Experience
3+ years of hands-on experience building and operating AI/ML applications in production environments.
Proven experience designing, deploying, and maintaining GenAI solutions used by real customers.
Strong experience developing scalable backend services and APIs.
Experience working in cloud-native environments, preferably on GCP
Strong Python engineering experience building scalable APIs, SaaS platforms, and cloud-native applications.
Proven experience developing and deploying AI solutions, including RAG, AI agents, conversational AI, and LLM-powered products.
Experience with modern AI frameworks (e.g., LangGraph, Google ADK, LlamaIndex, Hugging Face, Pydantic AI).
Knowledge of vector databases, semantic search, and retrieval systems.
Strong GCP experience, particularly Vertex AI and serverless/cloud-native services.
Familiarity with multi-tenant SaaS architecture, security, authentication, and RBAC.
Experience with MLOps, CI/CD, Docker, Kubernetes, Terraform, and production AI operations.
Here's what we can offer you:
➕ You can expect an hour based B2B contract (185-230pln/h). Please note that the final salary offer will be determined based on the candidate’s evaluated experience and skills.
➕ Regardless of your current insurance, we want to ensure your comfort. That is why we provide access to co-financed private healthcare for our B2B partners.
➕ Not only are your skills substantial, but also your growth! We highly encourage you to take part in meet-ups, online courses, conferences, and external training.
➕ A healthy mind in a healthy body – we support your overall wellness by offering access to a sports card on partnership terms.
➕We focus on outcomes and clear milestones. Cooperation hours and remote work setups are highly flexible, making it easy to align with your rhythm.
➕ To ensure seamless project execution, we offer the possibility of corporate hardware and software provision for the duration of our contract.
Here is what the recruitment process looks like:
HR CV review and getting in touch
First Interview (30 minutes)
Second interview (one hour Technical Interview)
Meeting with client
Negotiations ;) *a short call to meet the client may be conducted as the final stage of the recruitment process.