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Текст:
Hirify AI/Оригинал
TL;DR
Senior Forward Deployed Engineer (Fintech): Owning the technical journey from customer onboarding to production-grade AI deployments that deliver real business impact with an accent on designing solution architectures, developing decision logic and deploying production-grade Generative AI agents. Focus on proactively removing blockers, while making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery.
Location: New York City, United States; hybrid work with at least three days per week in the NYC office
Compensation: $175,000–$265,000 OTE (base plus variable), plus equity.
Company
hirify.global provides a modular Agentic Decision Platform that helps financial institutions automate and optimize decisions using AI agents, rules, contextual data, and human oversight.
What you will do
Lead complex AI-driven hirify.global deployments from use-case scoping through stable production.
Design solution architectures, develop decision logic, and deploy production-grade Generative AI agents.
Align with technical and business stakeholders to solve customer challenges and accelerate time to value.
Scope work, sequence delivery, remove blockers, and balance scope, speed, and quality.
Translate customer needs into actionable product insights and influence the product roadmap.
Build reusable resources, best practices, and tools to scale the forward deployed engineering function.
Requirements
4–6 years of engineering or technical deployment experience, including customer-facing work.
Production-grade Python and SQL experience, with strong knowledge of REST API design and integrations.
Strong problem-solving, decision-making, communication, and stakeholder management skills.
Ability to collaborate across product, engineering, and go-to-market teams with a customer-centric mindset.
Willingness to work in a hybrid model from the NYC office at least three days per week.
Nice to have
Experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist, or equivalent in a B2B SaaS company.
Experience building AI applications for financial services.
Experience applying and optimizing statistical or machine learning models for business problems.
Experience with AWS, Azure, or GCP.
Culture & Benefits
Early-stage environment with a flat hierarchy and direct communication with founding team members.
Mentorship, professional development, and access to a self-development budget.
Top-of-market equity and cash compensation package.
Choice of equipment, including meaningful home-office setup support.
Inclusive workplace committed to addressing discrimination and supporting underrepresented groups in tech.
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