
Senior AI Engineer, Location AI
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in Germany.
• Establish product behavior, develop measurement frameworks, and implement evaluation systems for non-deterministic behavior.
• Formulate product hypotheses and validate them through relevant signals.
• Define accurate outcomes, compile datasets, and regulate changes based on regression results.
• Continuously assess APIs, SDKs, data representations, and reference applications from the end-user viewpoint.
• Identify misuse, integration anti-patterns, and product deficiencies; propose and execute solutions.
• Take ownership of MVP delivery according to an agreed technical design while balancing perfection with practical increments.
• Create data pipelines and tools for data ingestion, conflation, entity resolution, quality checks, and batch/streaming jobs.
• Monitor and assess external datasets, models, benchmarks, published research, and open-source releases.
• Design feedback loops and instrumentation to replicate failures and transform recurring issues into evaluation cases.
• Establish model/tool boundaries and either build or enhance model harnesses.
• Optimize latency and cost per request using techniques such as streaming, partial results, caching, model routing, and prompt structuring.
• Develop internal CLI, MCP, and related tools; promote the sharing of reusable components across teams.
• Elevate engineering standards through code and design reviews and instruct on evaluation practices.
• Assist in addressing unresolved technical queries in the field.
• Engage in a 24/7 on-call rotation to ensure system availability.
• Bachelor’s degree in a STEM field.
• Over 5 years of software engineering experience with production ownership of services, pipelines, or SDKs.
• At least 2 years of experience delivering LLM-backed features to actual users in systems with error budgets, on-call rotations, and customer-visible regressions.
• Proficient in data engineering: SQL and at least one distributed processing framework.
• Experience with pipelines where the integrity of records is prioritized over processing speed.
• Proficient in tool calling and agent orchestration, including handling stale context, hallucinated arguments, silent partial success, and unbounded loops.
• Strong programming skills in Python or TypeScript.
• Comfortable reading code in other programming languages.
• Experience or a deep understanding of designing evaluations for non-deterministic systems.
• Ability to articulate a dataset created and the failure it addressed.
• Working knowledge of multiple agent harnesses.
• Experience in diagnosing latency within a distributed request path.
• Ability to navigate ambiguity and the judgement to deliver narrow, functional solutions.
• Participation in an on-call rotation, with the possibility of immediate response outside regular working hours and on weekends.
• Must be capable of working remotely from any location in Germany.
• Supportive healthcare.
• Parental leave.
• Flexible work arrangements.
• An environment that promotes teaching and learning.
• Private health, dental, and income protection plans aligned with regional statutory benefits.
• Family care, maternity, and paternity leave policies.
• Contributions to a Lifestyle Spending Account that supports health, wellness, and personal development.
• Mental health support for employees and their dependents.
• Paid time off, company holidays, and generous absence policies.
• Dedicated paid volunteering time in addition to standard PTO.
• Hybrid/remote flexibility to work from home or occasionally from an office where applicable.
Alzheimer's Association®
Capital One
Capital One
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