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DataSnipper
DataSnipper
201 – 500 Employees
B2BFinanceSaaS
DataSnipper is a Netherlands-based SaaS scale-up building software for audit and finance teams worldwide. Its products help professionals improve productivity and accuracy, supported by teams across product engineering, customer success, partnerships, sales, marketing, and operations. With more than 200 employees representing over 40 nationalities, DataSnipper combines a global team structure with a focus on customer needs, rapid growth, and responsible business practices.
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Senior Applied AI Engineer, Agent Runtime – DataSnipper

Build and operate Alwin’s agent runtime for DataSnipper’s audit and finance automation platform. Develop, evaluate, and improve production-grade LLM agents.

USUnited StatesNYNew York
$230,000 – $300,000 / year
HybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
Python

Description

  • Lead the design of base agents, covering system prompts, context engineering, memory, and state across extended, multi-turn tasks
  • Orchestrate agent access to document extraction, retrieval, code and file sandboxes, and MCP integrations
  • Build sub-agent composition, planning strategies, human-approval checkpoints, and routing across multiple model providers
  • Take agent capabilities from audit-domain prototypes through evaluation and into Alwin production
  • Create automated feedback and improvement loops for the agent
  • Design cost-conscious AI workflows and manage operational spending
  • Investigate long-running agent traces, connect outcomes to reasoning and tool calls, identify failure patterns, and implement corrective changes
  • Improve accuracy, response time, and token efficiency while documenting key trade-offs
  • Instrument runtime behavior through observability tooling and use production traces to guide iteration
  • Collaborate with Agent Experience, Document Intelligence, and AI Platform teams on self-service runtime capabilities
  • Assess emerging models, methods, and agent architectures, then productionize the approaches that prove effective

Requirements

  • At least five years of software engineering experience, including strong production Python development
  • Experience launching and operating an LLM-powered product in production
  • Practical experience developing agentic systems with control loops, tool selection, planning and execution, retries, and fallbacks
  • Experience designing evaluations, including datasets, offline and online experiments, and improvement cycles for AI systems
  • Strong command of LLM APIs and agent frameworks spanning multiple model providers
  • Proficiency with AI-assisted software development and enthusiasm for using coding agents every day
  • Solid foundations in software architecture and system design
  • A history of dependable delivery supported by thorough testing
  • Excellent communication skills and the ability to work directly with auditors and product stakeholders
  • Experience with Durable workflow engines or systems for long-running background tasks
  • Experience building RAG and retrieval pipelines for large, unstructured document collections
  • Knowledge of Document AI, including VLMs, OCR, structured extraction, and relevant metrics
  • Production experience with sandboxed code execution, MCP, or multi-agent orchestration
  • Background in audit, accounting, or fintech
  • Familiarity with OWASP GenAI security practices and regulated, privacy-sensitive environments
  • Availability to work onsite at least three days each week in the New York City office
  • Legal authorization to work in the United States

Benefits

  • Competitive salary with stock participation
  • Flexible paid time off
  • Comprehensive medical and dental insurance
  • 401(k) matching
  • Paid parental leave
  • Lunch provided by the company
  • Hybrid work with at least three days onsite in the New York City office
  • Opportunity to join a rapidly growing scale-up headquartered in the Netherlands
  • The chance to help transform the finance industry
  • A flexible, expanding organization with substantial learning and development opportunities
  • International workplace with supportive, motivated colleagues
  • Access to OpenUp and Talkspace mental health and wellness services
  • Regular social and team-building activities

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