• Support AI feature development for retrieval, ranking, categorization, and generative AI features on healthcare data • Participate in AI projects from requirements gathering through deployment • Assist in model implementation and monitoring deployed models • Apply established methodologies for effective AI solutions • Work closely with product managers, senior engineers, and team members

Role Description We are looking for an Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs that power them. - Build and evolve MAIA's core product capabilities with a focus on backend and AI systems. - Design, implement, and ship features from discovery to production rollout, emphasizing backend and AI functionality. - Build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost. - Build evaluation approaches for LLM features, including quality gates, regression detection, and observability. - Proactively scout new technologies and approaches, translating findings into production-ready solutions. - Collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software. Qualifications - Strong backend engineering skills in TypeScript or another strongly typed language (Go, Java, Rust). - Proven experience building and shipping production REST APIs. - Strong SQL skills, ideally with PostgreSQL in production. - Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts. - Commercial experience with at least one relevant LLM framework and at least one vector database. - Practical experience debugging production systems using observability tooling (logs, metrics, tracing). - Foundational understanding of cloud and DevOps concepts. - Ability to follow secure development best practices in day-to-day engineering work. - Fluent in English; German is a plus. Requirements - Strong ownership mentality - take responsibility end-to-end without needing to be managed. - People enjoy working with you due to your interaction style. - AI is part of how you work; you actively explore and experiment with models, prompts, agents, and workflows. - Pragmatic builder - ship solutions at the right level of complexity for the stage. - Prioritize based on business impact and customer value. - Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities. - Clear communication with both technical and non-technical stakeholders. Nice to have - Experience with Supabase. - Experience with document analysis pipelines and preprocessing for retrieval. - Experience with automated evaluation and testing for LLM features. - Experience with LLM tracing and analytics. Benefits - A central role in the engineering team of a well-funded, fast-growing AI startup. - Short decision-making paths, real ownership, and a trusted team. - Direct impact on product quality, AI capability, and company growth. - Flexible working hours and fully remote in Germany. - Access to a WellPass fitness membership for physical and mental wellbeing. - Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities. - Remote-first company culture with team events and planning sessions covered. Hiring Timeline We are aiming to have this role filled by May 2026. The process consists of three stages: an intro call (30min), a technical interview (90min), and a final conversation with leadership. If this role sounds like the right next step for you, we would love to hear from you.

Role Description We are looking for a Fullstack Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs and UI changes that bring them to life. - Build and evolve MAIA's core product capabilities with a primary focus on backend and AI systems. - Design, implement, and ship features from discovery to production rollout, emphasizing backend and AI functionality. - Build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost. - Build evaluation approaches for LLM features, including quality gates, regression detection, and observability. - Implement frontend changes needed to ship features end-to-end, focusing on simple, intuitive UI work. - Proactively scout new technologies and approaches, translating findings into production-ready solutions. - Collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software. Qualifications - Strong backend engineering skills in TypeScript or another strongly typed language (Go, Java, Rust) with solid TypeScript fundamentals. - Proven experience building and shipping production REST APIs. - Strong SQL skills, ideally with PostgreSQL in production. - Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts. - Commercial experience with at least one relevant LLM framework and at least one vector database. - Practical experience debugging production systems using observability tooling (e.g., Grafana, Sentry, PostHog). - Solid React fundamentals and the ability to implement and maintain frontend components with good engineering quality. - Foundational understanding of cloud and DevOps concepts. - Ability to follow secure development best practices in day-to-day engineering work. - Fluent in English; German is a plus. Requirements - Strong ownership mentality - take responsibility end-to-end without needing to be managed. - People enjoy working with you due to your interaction style. - AI is part of how you work; you actively explore and experiment with models, prompts, agents, and workflows. - Pragmatic builder - ship solutions at the right level of complexity and explain your choices. - Prioritize based on business impact and customer value. - Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities. - Communicate clearly with both technical and non-technical stakeholders. Nice to have - Experience with Supabase. - Experience with document analysis pipelines and preprocessing for retrieval. - Experience with automated evaluation and testing for LLM features. - Experience with LLM tracing and analytics (e.g., Langfuse). - Technical leadership: mentoring, setting standards, or leading cross-cutting initiatives. Benefits - A central role in the engineering team of a well-funded, fast-growing AI startup. - Short decision-making paths, real ownership, and a trusting team environment. - Direct impact on product quality, AI capability, and company growth. - Flexible working hours and fully remote in Germany. - Access to a WellPass fitness membership for physical and mental wellbeing. - Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities. - Remote-first company culture with team events and planning sessions covered. Hiring Timeline - Aiming to fill this role by May 2026. - The process consists of three stages: an intro call (30min), a technical interview (90min), and a final conversation with leadership. - We move quickly and will keep you informed at every step.

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security.  At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you!   This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications.