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Senior AI Engineer

3 months, 2 weeks ago

Europe, Portugal

Full-time

Senior

AI Engineer

Software Development

AWS Azure Elasticsearch FastAPI GCP Generative AI LLM Machine Learning MLOps OpenSearch Python Statistics

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Remote People

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Description

Design and build AI solutions with a strong focus on LLMs and modern machine learning for business problems.
Own the end-to-end lifecycle of AI features from problem definition through deployment, monitoring, and iteration.
Develop and optimize LLM-based applications such as RAG systems, agents, chatbots, and document understanding tools.
Participate in the design and management of data pipelines for data collection, preprocessing, and analytics.
Deploy AI solutions into the company’s cloud infrastructure with attention to scalability, security, and performance.
Work closely with cross-functional teams to integrate AI capabilities into products, services, and internal tools.
Identify and prioritize opportunities where AI and machine learning can create measurable business value.
Educate and guide stakeholders on AI applications and foster a culture of innovation.
Promote technology adoption and help build an AI-first culture across the organization.

Requirements

Minimum 5 years of experience in software development, including at least 2 years in AI/ML engineering or a related field.
Proven experience building and deploying production-grade AI/ML systems in batch and/or real-time environments.
Practical experience with LLMs and generative AI, including prompt engineering, fine-tuning, RAG pipelines, or LLM orchestration frameworks.
Experience with vector databases and semantic search tools such as Pinecone, Weaviate, Qdrant, Elasticsearch, or OpenSearch.
Experience implementing RAG architectures, retrieval pipelines, and evaluation for LLM-based systems.
Background in building and managing data pipelines for AI/ML systems.
Strong programming skills in Python, including hands-on experience with FastAPI and asynchronous programming (async/await).
Experience with cloud platforms such as AWS, Azure, or Google Cloud and integrating AI solutions into cloud-based systems.
Proficiency in database management, data wrangling, and working with distributed systems.
Solid foundation in algorithm design, statistics, and data science.
Previous experience promoting and advocating for technology adoption in a corporate setting.
Familiarity with MLOps practices and tools for managing AI/ML workflows, such as CI/CD for ML, monitoring, and experiment tracking.
Strong communication skills and the ability to educate and influence stakeholders at all levels of the organization.
Problem-solving mindset focused on delivering practical, scalable AI solutions.
Passion for driving innovation and fostering an AI-first culture.
Excellent presentation and documentation skills.
High ownership mindset with a willingness to improve systems, processes, and ways of working.
Ability to set high standards and lead by example.

Benefits

Competitive salary.
Asynchronous working environment.
Remote-first company environment, with hybrid options depending on the role.
Ability to work from abroad for a short period of time.
Growth opportunities within the company.
Necessary hardware provided for all new joiners.

Interested in this position?

Apply directly on the company website

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