We’re looking for a forward-thinking and pragmatic AI Engineer to play a leading role in shaping how we deliver impactful AI solutions. You’ll help define our overall AI direction by designing sustainable, value-driven solutions that combine modern AI with solid engineering and architectural foundations. 

You’ll be responsible for driving the adoption of AI across domains, leading solution design, and ensuring that our systems are ready for current and future AI demands. This includes integrating intelligent features into robust enterprise architectures, enabling engineering teams through tooling and guidance, and identifying the best paths from experimentation to production.

Key Responsibilities

• Lead the strategy, design, and delivery of AI-driven solutions, spanning LLMs, ML models, and intelligent workflows.
• Architect and implement scalable AI systems that integrate smoothly with enterprise-grade infrastructures and development practices.
• Collaborate closely with engineering, product, and leadership teams to identify where AI can deliver the most value, and help turn those opportunities into real solutions.
• Develop and maintain internal tooling, frameworks, and guidelines to enable other teams to work effectively with AI and ML technologies.
• Guide the adoption of GenAI capabilities, including prompt engineering, RAG pipelines, and agent-based architectures, always with a focus on long-term maintainability.
• Ensure systems are observable, testable, performant, and aligned with data privacy, security, and compliance needs.
• Stay actively informed on the evolving AI/ML ecosystem (GenAI, MLOps, vector search, model serving) and evaluate new tools and practices for enterprise readiness.
• Promote a culture of learning, experimentation, and thoughtful adoption of AI technologies across teams.

Key Requirements

• 4+ years of experience in software or ML engineering, with a strong foundation in backend architecture and distributed systems.
• Proven track record designing and delivering AI-powered systems in production, preferably in enterprise environments.
• Proficient in Python (or Node.js), with deep experience building robust, maintainable, and scalable services.
• Strong understanding of LLMs, embeddings, prompt engineering, RAG patterns, and GenAI tooling (e.g., LangChain, Transformers, Hugging Face, OpenAI APIs).
• Comfortable building for real-world complexity: multi-tenant setups, observability, performance, cost tracking, and governance.
• Familiarity with modern infrastructure tooling: containerisation (Docker), orchestration (e.g., Airflow, Temporal), cloud services (AWS, Azure, GCP).
• Experience driving cross-functional initiatives and mentoring technical teams on AI capabilities.
• Fluent in English and an excellent communicator, able to collaborate effectively across disciplines.

Nice-to-Have

• Experience with model serving and inference frameworks (e.g., vLLM, TensorRT-LLM, LiteLLM).
• Familiarity with vector databases (e.g., Qdrant, Weaviate, Pinecone) and semantic search design.
• Exposure to MLOps or AIOps practices, including monitoring, retraining, and lifecycle management.
• Background in data science or ML beyond GenAI use cases—e.g., time-series, anomaly detection, recommendation systems.
• Contributions to open-source tools or internal enablement platforms.

Perks and Benefits

→Global Projects & Opportunities
→Training & Development
→Remote-Friendly Culture
→Internal Growth Opportunities
→Great Equipment & Tools
→Flexible Benefits
→Extra Days Off
→Health Insurance
→Social Events & Team Building

One of the perks of being a part of synvert is that you’ll join a global team of over 500 experts from Germany to the UK, Croatia and even the UAE.  
As a member of our team, you’ll have the opportunity to work on cutting-edge cloud native and AI solutions, leveraging synvert's extensive industry knowledge and technical expertise. 
 
Join us and be at the forefront of delivering excellence in DevOps, Data, and Digital Products!

_{And even if you don’t think you meet 100% of the requirements, just submit your application. We’re always happy to meet new people!}
See you on the other side!

And just as a FYI, here’s what you can expect from our application process:
→ PX Interview →Tech Interview → Final Interview → Offer