TL;DR
Member of Technical Staff (AI Engineering): Engineering and deploying hirify.global's AI capabilities for international government agencies, regional/local administrations, and public sector workflows worldwide with an accent on designing, building, and optimizing integrations between hirify.global's frontier models and international government systems. Focus on safe deployment practices, including red-teaming, bias evaluation, output filtering, and explainability features for high-stakes non-classified applications in varied regulatory landscapes.
Location: London, UK
Company
hirify.global’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
What you will do
- Design, build, and optimize integrations between hirify.global's frontier models and international government systems.
- Develop secure, scalable solutions for policy analysis, edtech, scientific research, and citizen-facing services.
- Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for government and enterprise developers.
- Partner with international agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback.
- Contribute to safe deployment practices, including red-teaming, bias evaluation, and output filtering.
- Fine-tune and adapt hirify.global models for specific government use cases, ensuring alignment with mission objectives and ethical guidelines.
Requirements
- 4+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency required).
- Experience fine-tuning AI models for government use cases, including building evaluations and ensuring safety and performance.
- Experience deploying complex AI and data systems in sovereign environments, ensuring compliance with international regulations for technology and AI.
- Willingness and ability to undertake travel and international assignments to regions such as the Americas, Asia, and the Middle East.
- Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions.
- Demonstrated ability to write clean, maintainable, high-performance code under tight timelines.
Nice to have
- Prior work on AI safety, governance, red-teaming, or responsible AI deployment.
- Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration.
- Background in policy-adjacent technical roles, civic tech, or public-interest technology with an international focus.
- Contributions to open-source AI projects or developer tools.
Culture & Benefits
- Flat organizational structure; all employees are expected to be hands-on and contribute directly to the company’s mission.
- Leadership is given to those who show initiative and consistently deliver excellence.
- Strong communication skills are expected, with the ability to concisely and accurately share knowledge with teammates.
- Comprehensive medical, vision, and dental coverage.
- Access to a 401(k) retirement plan.
- Short & long-term disability insurance and life insurance.
Hiring process
- CV and statement of exceptional work review.
- 15-minute initial phone interview.
- 2-3 technical interviews: practical coding assessment and a meeting with the exec team.
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