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

Synvert; Portugal; Presencial; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

A tech company in Portugal is looking for an experienced AI Engineer to lead the development of AI-driven solutions. Candidates should have 4+ years of experience in software or ML engineering, proficiency in Python, and a strong understanding of large language models. This role promotes collaboration and innovation in AI technologies while ensuring the development of scalable systems.

Qualificações

• 4+ years of software or ML engineering experience.
• Proven track record in designing and delivering AI systems.
• Deep experience with Python or Node.js.

Responsabilidades

• Lead the strategy and delivery of AI-driven solutions.
• Architect and implement scalable AI systems.
• Collaborate with teams to identify AI opportunities.

Conhecimentos

Software or ML engineering experience

Backend architecture knowledge

Proficiency in Python or Node.js

Understanding of LLMs and GenAI tooling

Experience with containerisation and orchestration

Cross-functional collaboration

Fluency in English

Ferramentas

Docker

AWS

Airflow

LangChain

OpenAI APIs

Descrição da oferta de emprego

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, with a focus on long-term maintainability.
• Ensure systems are observable, testable, performant, and aligned with data privacy, security, and compliance needs.
• Stay 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.

What we expect from you

• 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.