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You will be updated with latest job alerts via emailHala is a social enterprise working to transform the nature of protection and accountability in the worlds 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.
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 100000 to 110000
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.
Masters 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.
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.
Full-Time