AI Engineer (AI Strategy & Enablement) (m/f/d)

AI Engineer (AI Strategy & Enablement) (m/f/d)

Join Synvert, a Global
Logic company, as an AI Engineer to shape AI strategies and deliver impactful solutions.

About Synvert

Synvert is a leading cloud, data, and AI services company, partnering with enterprises to design, implement, and manage
-
- end data and AI solutions that drive measurable business impact. We combine deep technical expertise with strong industry knowledge across different sectors.

Based in Portugal, you will join a team of experts pushing the boundaries of AI, Data, Product and Platform Engineering, working alongside an international, multidisciplinary team from our offices in Leiria, Lisbon and Viseu.

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
  - 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 Gen
  AI capabilities, including prompt engineering, RAG pipelines, and
  - based architectures, always with a focus on
  - 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 (Gen
  AI, 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 Gen
  AI tooling (e. g. , Lang
  Chain, Transformers, Hugging Face, Open
  AI APIs).
• Comfortable building for
  - 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. , v
  LLM, Tensor
  RT‑LLM, Lite
  LLM).
• 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 Gen
  AI 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

You’ll be part of a global team of over 500 experts from Germany, the UK, Croatia, and 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 Dev
Ops, Data, and Digital Products!

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!

Application Process:

• PX Interview
• Tech Interview
• Final Interview
• Offer