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Чёткая ответственность за внедрение AI-решений, известные банковские клиенты и понятный переход к работе с крупными заказчиками делают вакансию сильной для начала карьеры, хотя стартап-среда несёт дополнительную неопределённость.
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Актуальные технологииПонятные задачиAI в финансовом сектореРиски стартапа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer, Mid-Market - Paris (AI): Launching and optimizing AI debt-collection agents for lenders, telcos, utilities, healthcare providers, and servicers with an accent on customer-specific configuration, integrations, testing, and production analytics. Focus on running parallel implementations, improving reusable templates and tooling, and tuning agent strategies using Python, TypeScript, SQL, and LLM evaluations.
Location: Paris, France; hybrid setup with 3 days per week in the Paris office and 2 days remote.
Company
hirify.global builds voice and multichannel AI agents for debt collection, serving banks and other customer-facing organizations.
What you will do
Run multiple mid-market implementations from kickoff to go-live on fixed timelines of approximately four weeks.
Configure and adapt AI agents to customer policies, products, tone, contact rules, channel mix, payment links, and human hand-offs.
Set up customer data imports and exports through standard integration flows and test agents with simulations and evaluations.
Analyze production performance using SQL and dashboards, explain results to customers, and improve agents and contact strategies.
Turn repeated implementation work into templates, scripts, and tooling while helping standardize workflows across customer segments.
Document live deployments, hand over customers to Deployment Strategists, and share product gaps and feedback with Product and Engineering.
Requirements
1–3 years of experience in a technical role such as software engineering, solutions engineering, implementation, technical support, or technical consulting; strong graduates are welcome.
Ability to write Python and/or TypeScript and SQL, work with APIs, and handle data files.
Interest in structured, repeatable work and automating recurring tasks.
Ability to manage several projects simultaneously and keep each one on schedule.
Clear communication with customers and teammates.
Native-level French and fluent English required.
Nice to have
Hands-on experience with LLMs, including prompting, evaluations, or building small agents.
Exposure to collections, lending, telco, utilities, customer operations, or related domains.
Computer Science, Engineering, or Math degree, or equivalent experience.
Culture & Benefits
Hybrid and flexible work arrangement with three office days and two remote days by default.
Competitive salary based on skills, experience, and impact.
Stock options and the opportunity to contribute during the startup's early growth.
Training, knowledge-sharing, and exposure to other startups in the company's ecosystem.
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.
Tech assessment or business case focused on challenges similar to the role.
Final call with the founders.
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