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Роль хорошо описана и сочетает практическую работу с ИИ и ответственность за внедрение у крупных клиентов; влияние в стартапе заметное, но ранняя стадия и широкий круг задач добавляют неопределённости.
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Широкая ответственностьРанний стартапПерспективный AIПонятные задачиПоддержка развития
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Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer, Enterprise - Berlin (AI): Building and deploying production AI agents for banks and large lenders with an accent on prompt engineering, integrations, evaluation harnesses, and regulated customer communications. Focus on designing agent behavior, analyzing production performance, and solving complex deployment challenges across banking systems, voice, messaging, and payment channels.
Location: Berlin, Germany; hybrid with 3 days per week in the Berlin office and 2 days remote. Lead enterprise deployments for banks and large lenders in Germany and the DACH region.
Company
hirify.global builds voice and multichannel AI agents for debt collection, serving banks and lenders through voice, messengers, email, and SMS.
What you will do
Own end-to-end delivery of enterprise AI agent builds from POC scoping through implementation, evaluation, and production launch.
Define operating procedures, guardrails, escalations, prompts, and agent logic for identification, negotiation, and payment conversations.
Configure channel strategies, contact windows, retry and frequency rules, payment links, and human hand-offs in line with country regulations.
Build evaluation and simulation harnesses, regression tests, and integrations with banking, collections, data, and telephony systems.
Diagnose failures using transcripts, traces, logs, SQL, and dashboards; improve agents and contact strategies based on production performance.
Support enterprise sales, collaborate with senior customer stakeholders, and turn deployment lessons into reusable templates and playbooks.
Requirements
5+ years in a technical customer-facing role such as forward deployed engineering, solutions engineering, implementation engineering, technical consulting, or technical product management.
Ability to write code and SQL, work with APIs, and build end-to-end integrations.
Hands-on experience building with LLMs, including prompting, evaluations, guardrails, harnesses, and tool use.
Experience delivering production systems for enterprise customers requiring structured testing and iteration.
Ability to explain technical decisions to senior stakeholders and turn requirements into delivery plans.
Comfort working in fast-moving, ambiguous situations where the solution must be shaped as well as built.
Native-level German and fluent English required.
Nice to have
Experience in banking, lending, collections, or regulated customer communications.
Voice AI or telephony experience.
Computer Science, Engineering, or Math degree, or equivalent experience.
Culture & Benefits
Hybrid and flexible setup with 3 office days in Berlin and 2 remote days by default.
Competitive salary based on skills, experience, and impact.
Stock options and the opportunity to contribute to an early-stage startup from day one.
Continuous development through training, knowledge-sharing, and exposure to other startups.
Commitment to a diverse, inclusive, and equitable workplace.
Hiring process
First interview with a future teammate, followed by a technical deep dive with the Hiring Manager and potentially another team member.
Practical tech assessment or business case, followed by a call with the founders.
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