About Us

Our client develops financial software for small and medium‑sized enterprises, focusing on automating accounting, tax, and payroll processes across European markets. The product integrates transactional bookkeeping, compliance workflows, and reconciliation tools to reduce manual effort and error in day‑to-day finance operations. The engineering teams deliver cloud‑native services that connect with banking APIs, tax authorities, and third‑party payroll providers.

about the role

About Us

Our client develops financial software for small and medium‑sized enterprises, focusing on automating accounting, tax, and payroll processes across European markets. The product integrates transactional bookkeeping, compliance workflows, and reconciliation tools to reduce manual effort and error in day‑to-day finance operations. The engineering teams deliver cloud‑native services that connect with banking APIs, tax authorities, and third‑party payroll providers.

Job Description

The Senior AI Engineer will design and implement production‑grade AI components that improve transactional accuracy, automate tax categorization, and assist customer workflows. The role requires leading cross‑functional projects from prototype through deployment, ensuring models and agents meet reliability, latency, and privacy targets. Success is measured by reduced manual interventions, measurable accuracy gains, and stable, cost‑effective AI services.

Key Responsibilities

Lead end-to-end development of AI features that automate accounting and tax tasks.
Design LLM‑based agents and pipelines for structured financial outputs and rule‑based augmentation.
Implement monitoring, testing, and observability for model behaviour and data quality.
Collaborate with finance domain experts to translate regulatory rules into reliable AI logic.
Optimize inference cost, latency, and scalability across cloud environments.
Mentor engineers and contribute to AI engineering standards and best practices.
Drive secure data handling and privacy‑preserving model design for financial data.
Ship iterative improvements with strong versioning and rollback procedures.

Requirements

Minimum 7 years of software engineering experience with at least 3 years focused on production AI systems.
Proven experience building with large language models and agent frameworks in production.
Deep Python proficiency and familiarity with model‑serving stacks (e.g., Docker, Kubernetes, TorchServe, Ray, or equivalents).
Experience integrating systems with banking and tax APIs and handling sensitive financial data.
Track record of designing monitoring and testing strategies for ML models in production.
Strong understanding of prompt engineering, structured output parsing, and chain‑of‑thought mitigation techniques.
Excellent stakeholder communication and ability to lead cross‑functional delivery.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience; advanced degree preferred.

Benefits

Competitive salary with performance‑linked bonuses.
Equity or long‑term incentive programme aligned with company growth.
Comprehensive health and dental insurance options.
Flexible hybrid working with offices in Berlin and remote‑friendly policies.
Generous parental leave and support for family wellbeing.
Learning budget and paid time for professional development and conferences.
Tech allowance for home office equipment and cloud credits for experimentation.
Relocation support for international candidates joining the Berlin hub.

Other

Our client operates in a regulated financial software environment where privacy, auditability, and compliance are critical. The role requires occasional onsite collaboration in Berlin and may involve cross‑border coordination across engineering, product, and compliance teams. Candidates must be eligible to work in Germany or require supported relocation.

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Forsyth Barnes Consultancy