Job description
AI Engineer
Analytics & AI
Hala is a social enterprise working to transform the nature of protection and accountability in the world’s toughest places by democratizing advanced defense, sensing, and artificial intelligence technology. Hala is currently saving lives, reducing trauma, and improving resilience for millions of people.
Our team works across the globe and hails from over 15 countries. We speak more than 20 languages and have studied and worked in leading educational, business, research, and government institutions. We are mission-driven thinkers, and we share a deep respect for each other and for the communities that partner with us.
We believe in innovation with purpose, focusing on developing real and applicable technology solutions to the challenges facing the planet. We believe in working ethically and collaboratively and making decisions with transparency. We value flexibility, adaptability, and a good sense of humor.
Role Overview:
The AI Engineer is a key member of the Analytics & AI team, focusing on implementing cutting-edge AI systems and agentic patterns that enable impactful, autonomous, and adaptive solutions. They will design, develop, and integrate innovative frameworks leveraging AI to address real-world challenges, prioritizing the creation of systems that drive meaningful and positive change. While technical expertise is essential, the primary expectation is a passion for building impactful solutions and a commitment to driving forward-thinking applications of AI in dynamic environments. This role emphasizes implementation and integration over model training, allowing for versatility across evolving technological landscapes.
This is a full-time position. The role can be based in Europe (Lisbon, Berlin, or other locations), with a flexible hybrid remote working policy, with a salary range of €100,000 to €110,000
We’ll trust you to:
Design and implement robust, agentic AI systems and reusable workflows that enable autonomous decision-making capabilities, leveraging agentic frameworks. Ensure solutions are optimized for scalability, adaptability, and reliability across diverse environments, including on-premise and cloud-based systems.
Build and maintain robust data engineering pipelines to support system evaluation and foundational model training, ensuring data quality, scalability, and efficiency in processing large and complex datasets.
Collaborate with cross-functional teams, including data scientists and ML engineers, to align AI workflows with product requirements and real-world applications.
Develop and maintain systems that facilitate seamless integration of AI models into broader pipelines, with a focus on agentic and multi-modal use cases.
Actively engage in Agile product development processes, contributing to sprints, stand-ups, and collaborative planning sessions.
Stay informed about advancements in the AI landscape and proactively demonstrate new approaches, ensuring the team remains at the forefront of innovation.
Drive iterative improvements to systems, products, and processes in a collaborative environment, contributing to the quarterly OKR process and broader organizational goals.
Provide mentorship, foster collaboration, and invest in personal and team-wide learning to cultivate a culture of continuous growth and impactful innovation.
We’d love to see the following:
Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent professional experience demonstrating exceptional capability is equally valued.
Experience implementing agentic frameworks and patterns, such as LangChain /LangGraph, and integrating large language models (LLMs) into complex systems.
Strong programming skills in Python and familiarity with data processing and workflow frameworks such as Kedro, Pandas, Dask, or equivalents. Adaptability to new tools and frameworks is a plus.
Proven experience applying AI or ML models to solve real-world problems, with a focus on system-level integration rather than solely model training.
Familiarity with multi-modal AI systems and applications of vision-language models or LLMs in tasks requiring multi-modal understanding.
Demonstrated ability to design scalable and maintainable data engineering pipelines to support AI system evaluation and model training.
Excellent verbal and written communication skills, with a proven ability to articulate complex concepts to diverse audiences.
Previous experience with Agile product development processes and a track record of contributing to collaborative team environments.
A strong passion for creating impactful systems and driving innovation with the potential to generate positive change in the world.
What Hala offers you:
Life-saving social impact.
Competitive salaries.
Flexible Time-Off so you can take time off when needed.
Comprehensive, worldwide healthcare, dental, and vision insurance for you and your family at no cost.
Paid parental leave.
Flexible working policy, including the ability to work from home.
A diverse, international community of dedicated, hardworking team players committed to interdisciplinary collaboration and thriving workplace culture.
