Senior AI Agent Runtime Engineer - Traceable Automation

Datasnipper

New York (NY)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Competitive salary
Medical and dental coverage
401K match
Paid parental leave
Office in New York City

Job summary

DataSnipper is building Alwin, an Agentic Automation Platform for audit and finance. This Senior Applied AI Engineer will shape the runtime layer, enabling long-running agents, tool use, and cost-aware execution across audits.

You’ll work with cross-functional teams and influence model routing, evaluation, and observability in production. The role sits in a small team with a wide reach and hundreds of thousands of audit professionals relying on our outputs.

Qualifications

  • 5+ years of software engineering experience in production systems.
  • Hands-on with shipping an LLM-powered product and managing costs.
  • Proven ability to design agentic, multi-turn systems and evaluate them.

Responsibilities

  • Own the base agents: system prompts, context engineering, memory and state management.
  • Design tool layer usage and abstraction for documents, retrieval, sandboxes and MCPs.
  • Implement agentic patterns: sub-agent composition, planning modes, human-in-the-loop gates.
  • Ship end-to-end from prototype to production on Alwin.
  • Improve agent performance and control costs over time.
  • Collaborate with product and audit teams to turn needs into runtime capabilities.

Skills

Five years experience
Python
LLM production experience
Agentic systems
Evaluation
LLM APIs
Software architecture
Cross-team communication

Tools

Agent frameworks
RAG pipelines
Document AI
Sandboxed code execution
MCP integrations

Job description

DataSnipper is building Alwin, an Agentic Automation Platform for audit and finance. This Senior Applied AI Engineer will shape the runtime layer, enabling long-running agents, tool use, and cost-aware execution across audits.

You’ll work with cross-functional teams and influence model routing, evaluation, and observability in production. The role sits in a small team with a wide reach and hundreds of thousands of audit professionals relying on our outputs.

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