Founding Engineer

Clera; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Clera is seeking a founding engineer to help build AI systems for tax advisory and accounting firms. You will take AI from prototype to auditable production workflows that handle high-stakes financial data at scale, collaborating directly with domain experts and production teams.

Responsibilities include building document intelligence pipelines, designing retrieval and knowledge systems (RAG), and creating agentic automation for multi-step tax processes.

Qualifikationen

• 3+ years shipping ML/LLM/AI systems in production.
• Hands-on with LLMs, retrieval (RAG), or AI agents in production.
• Experience building document intelligence systems for unstructured documents.
• Strong software engineering discipline: testing, reliability, observability.
• Experience designing evaluation frameworks and monitoring AI in production.
• Ability to take AI capabilities from prototype to production deployment.
• Experience collaborating with domain experts to translate workflows into AI solutions.
• Background in high-stakes domains requiring reliability and auditability.
• Exposure to accounting, tax, or financial domain workflows is a plus.
• Experience with agentic workflows, anomaly detection, classification, or recommendations is a plus.

Aufgaben

• Build and operate document intelligence systems that extract, classify, and process complex accounting and tax documents.
• Design and implement retrieval and knowledge systems (RAG) across tax law, internal knowledge bases, client histories, and firm-specific data.
• Build agentic workflows and AI-driven automation for multi-step accounting and tax processes.
• Develop prediction and suggestion systems for use cases such as booking proposals, anomaly detection, classification, and intelligent recommendations.
• Build and maintain data pipelines and infrastructure to power reliable AI and ML workflows.
• Design evaluations, monitoring, observability, and feedback loops to understand system performance and failure modes in production.
• Continuously improve AI capabilities based on real-world performance data.
• Collaborate closely with engineers, operations staff, and tax professionals to translate domain knowledge into AI solutions.

Kenntnisse

ML/LLM in production

RAG systems

Document understanding

Reliability & observability

Evaluation & monitoring frameworks

Prototype to production deployment

Domain collaboration with experts

Jobbeschreibung

About The Role
This is a founding engineering role at an early-stage company building AI systems that reduce manual work inside real tax advisory and accounting firms. You will work directly with production workflows and domain experts, taking AI from prototype to reliable, auditable systems that handle high-stakes financial data at scale.

About The Role
This is a founding engineering role at an early-stage company building AI systems that reduce manual work inside real tax advisory and accounting firms. You will work directly with production workflows and domain experts, taking AI from prototype to reliable, auditable systems that handle high-stakes financial data at scale.
What You'll Do

• Build and operate document intelligence systems that extract, classify, and process complex accounting and tax documents.
• Design and implement retrieval and knowledge systems (RAG) across tax law, internal knowledge bases, client histories, and firm-specific data.
• Build agentic workflows and AI-driven automation for multi-step accounting and tax processes.
• Develop prediction and suggestion systems for use cases such as booking proposals, anomaly detection, classification, and intelligent recommendations.
• Build and maintain data pipelines and infrastructure to power reliable AI and ML workflows.
• Design evaluations, monitoring, observability, and feedback loops to understand system performance and failure modes in production.
• Continuously improve AI capabilities based on real-world performance data.
• Collaborate closely with engineers, operations staff, and tax professionals to translate domain knowledge into AI solutions.

What We're Looking For

• 3 or more years of hands-on experience shipping ML, LLM, or AI-based systems into real production environments.
• Hands-on experience with LLMs, retrieval systems (RAG), or AI agents in production.
• Experience building document intelligence systems covering extraction, classification, and understanding of unstructured documents.
• Strong software engineering discipline: testing, reliability, observability, and maintainability in AI systems.
• Experience designing evaluation frameworks and monitoring systems for AI in production.
• Demonstrated ability to take AI capabilities from prototype through iterative production deployment.
• Experience collaborating with domain experts to translate complex workflows into AI solutions.
• Background in high-stakes domains where reliability and auditability are critical.
• Exposure to accounting, tax, or financial domain workflows is a plus.
• Experience with agentic workflows, anomaly detection, classification, or recommendation systems in production is a plus.

Location
On-site in Berlin, Germany.