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AI Engineer - Job Opportunity at Hala Systems

Berlin, Germany
Full-time
Senior
Posted: August 21, 2025
Hybrid
EUR 100,000-110,000 per year

Benefits

Comprehensive remote work flexibility enabling optimal work-life balance and access to global talent markets
Complete healthcare coverage including worldwide medical, dental, and vision insurance for entire family at zero employee cost, providing exceptional financial protection
Unlimited flexible time-off policy allowing autonomous time management and personal well-being prioritization
Paid parental leave supporting family growth and work-life integration
Mission-driven work environment focused on life-saving social impact and meaningful global change
International collaborative culture with diverse team spanning 15+ countries and 20+ languages

Key Responsibilities

Architect and deploy autonomous AI systems with agentic capabilities that enable independent decision-making and adaptive responses, directly impacting organizational efficiency and innovation capacity
Engineer scalable data processing pipelines supporting large-scale AI model evaluation and training, ensuring robust infrastructure for next-generation AI applications
Lead cross-functional collaboration with data science and ML engineering teams to align AI solutions with strategic product objectives and real-world deployment requirements
Drive integration of multi-modal AI systems into production environments, establishing seamless workflows that enhance organizational AI capabilities
Champion agile development practices through active participation in sprint planning, stand-ups, and iterative development cycles that accelerate product delivery
Spearhead innovation initiatives by researching and implementing cutting-edge AI technologies, maintaining competitive advantage in rapidly evolving AI landscape
Mentor team members and foster collaborative learning culture while contributing to quarterly OKR processes that drive organizational growth
Optimize system performance across diverse deployment environments including on-premise and cloud infrastructure, ensuring reliability and scalability

Requirements

Education

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent professional experience

Experience

Proven experience applying AI or ML models to solve real-world problems with focus on system-level integration

Required Skills

Experience implementing agentic frameworks and patterns, such as LangChain/LangGraph Integrating large language models (LLMs) into complex systems Strong programming skills in Python Familiarity with data processing and workflow frameworks such as Kedro, Pandas, Dask Familiarity with multi-modal AI systems and applications of vision-language models Demonstrated ability to design scalable and maintainable data engineering pipelines Excellent verbal and written communication skills Previous experience with Agile product development processes Strong passion for creating impactful systems and driving innovation
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Sauge AI Market Intelligence

Industry Trends

The AI engineering market is experiencing unprecedented demand driven by the widespread adoption of large language models and agentic AI systems across industries. Organizations are increasingly seeking professionals who can implement and integrate AI solutions rather than just develop models, reflecting a maturation of the AI industry from research-focused to deployment-focused roles. Agentic AI frameworks like LangChain and LangGraph are becoming critical infrastructure components as companies move beyond simple AI applications to autonomous systems capable of complex decision-making. This represents a fundamental shift toward AI systems that can operate independently and adapt to changing conditions. Multi-modal AI capabilities combining vision, language, and other modalities are becoming essential as organizations seek to create more sophisticated AI applications that can process diverse data types. This trend is driving demand for engineers who can work across different AI domains and integrate various model types. The social impact technology sector is experiencing significant growth as organizations recognize the potential for AI to address global challenges. This creates unique opportunities for AI engineers who want to combine technical expertise with meaningful mission-driven work.

Salary Evaluation

The offered salary of EUR 100,000-110,000 is competitive for the Berlin market and aligns well with senior AI engineering roles in Europe. This range reflects the specialized nature of agentic AI systems and the company's social enterprise focus, positioning slightly above market average for similar roles in the region.

Role Significance

The role likely involves working within a specialized AI team of 5-10 engineers while collaborating extensively with cross-functional teams including data scientists, ML engineers, and product teams. The emphasis on mentorship suggests a senior position within the team hierarchy.
This is a senior-level position requiring significant autonomy and technical leadership. The role involves architecting complex AI systems, mentoring team members, and driving innovation initiatives, indicating substantial influence on technical direction and team development.

Key Projects

Development of autonomous AI agents for humanitarian applications that can operate in challenging environments with limited human oversight Implementation of multi-modal AI systems for threat detection and analysis in conflict zones or disaster areas Creation of scalable data processing pipelines for real-time analysis of diverse data sources including satellite imagery, communications, and sensor data Integration of advanced AI capabilities into existing humanitarian technology platforms to enhance protection and accountability systems

Success Factors

Deep technical expertise in agentic AI frameworks and the ability to architect systems that can operate autonomously in dynamic environments will be critical for delivering on the company's mission-critical applications Strong collaboration skills and cultural sensitivity will be essential given the international team structure and the sensitive nature of humanitarian work requiring careful stakeholder management Adaptive problem-solving capabilities and resilience will be crucial for developing solutions that work in challenging environments with limited infrastructure and unpredictable conditions Balance of technical innovation with practical implementation skills, ensuring that cutting-edge AI solutions can be deployed reliably in real-world humanitarian contexts where failure is not an option

Market Demand

High demand exists for AI engineers with specific expertise in agentic frameworks and system integration, as this represents a specialized skill set that combines cutting-edge AI technology with practical implementation experience. The scarcity of professionals with both LLM integration experience and production system deployment capabilities creates favorable market conditions.

Important Skills

Critical Skills

Agentic AI framework expertise (LangChain/LangGraph) is absolutely essential as these technologies form the foundation of the autonomous systems the organization develops. Mastery of these frameworks directly impacts the ability to create AI systems capable of independent operation in challenging humanitarian contexts. Python programming proficiency and data engineering pipeline design capabilities are fundamental for implementing and maintaining the robust, scalable systems required for processing large datasets in humanitarian applications where reliability and performance are critical for life-saving operations. System integration and multi-modal AI experience is crucial for developing comprehensive solutions that can process diverse data sources and operate effectively in complex real-world environments where multiple types of information must be synthesized for accurate decision-making. Strong communication and collaboration skills are vital given the international team structure and the need to work with diverse stakeholders including humanitarian organizations, government entities, and affected communities where technical solutions must be clearly explained and culturally appropriate.

Beneficial Skills

Experience with cloud and on-premise deployment architectures would enhance ability to implement solutions across diverse infrastructure environments common in humanitarian settings Background in computer vision or satellite imagery analysis would provide valuable domain expertise for many humanitarian monitoring and protection applications Knowledge of security and privacy frameworks would be beneficial for handling sensitive data in conflict zones and ensuring protection of vulnerable populations Understanding of humanitarian principles and international development context would accelerate integration into mission-focused work environment and stakeholder engagement

Unique Aspects

The role combines cutting-edge AI engineering with life-saving humanitarian applications, offering the rare opportunity to work on technology that directly impacts global safety and protection in conflict zones and disaster areas
Focus on agentic AI systems for autonomous decision-making in challenging environments represents a unique technical challenge that goes beyond typical commercial AI applications
The social enterprise model creates a distinctive work environment that balances technical innovation with ethical considerations and social responsibility
International team structure spanning 15+ countries provides exposure to diverse perspectives and global approaches to humanitarian technology challenges

Career Growth

Career progression to leadership roles typically occurs within 2-3 years given the specialized nature of the work and growing demand for experienced AI engineers in humanitarian technology. The unique combination of technical expertise and social impact experience creates accelerated advancement opportunities.

Potential Next Roles

AI Engineering Team Lead or Principal AI Engineer roles focusing on technical leadership and architecture of complex AI systems Head of AI or CTO positions in social impact organizations or humanitarian technology companies Senior AI Consultant or Solutions Architect roles in organizations implementing AI for social good Research and Development Director positions in organizations developing AI applications for challenging global problems

Company Overview

Hala Systems

Hala Systems operates as a social enterprise focused on democratizing advanced defense, sensing, and AI technology for humanitarian protection and accountability. The organization represents a unique intersection of cutting-edge technology development and social impact mission, working to save lives and improve resilience for millions of people in the world's most challenging environments.

Hala Systems occupies a distinctive position in the humanitarian technology space, combining advanced AI and defense technologies with social enterprise principles. The organization's global reach and multinational team structure indicate substantial operational scale and international recognition in the humanitarian technology sector.
The Berlin location positions the role within Europe's growing AI and technology hub while maintaining connection to the company's global operations. This location offers access to strong technical talent pools and proximity to major European institutions and organizations involved in humanitarian work and technology development.
The organization emphasizes mission-driven thinking, ethical collaboration, and transparency in decision-making. The culture values flexibility, adaptability, and humor while maintaining deep respect for team members and partner communities. The international nature of the team creates a diverse, multicultural environment focused on meaningful impact rather than traditional corporate metrics.
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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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