AI Field Engineer: Production-Ready & Client-Facing

Sapiens

Rochelle Park (NJ)

Hybride

USD 150 000 - 210 000

Plein temps

Il y a 8 jours

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Résumé du poste

Sapiens in the United States is seeking a senior software engineer to turn ambiguous customer problems into production AI capabilities, as the technical half of the Value FDE and AI-FDE pair.

You will ship live capabilities quickly, own end-to-end builds, and design agentic workflows that operate close to the process. Occasional travel to client sites is expected to support delivery and adoption.

Qualifications

  • 5+ years of software engineering experience.
  • Proficiency in Python, Java, C++ or TypeScript; APIs and cloud.
  • Hands-on experience with LLMs or agentic workflows in production.
  • Experience with insurance systems or platforms is a plus.
  • Data engineering, MLOps or security in regulated industries is desirable.

Responsabilités

  • Ship a working capability against the live backlog in the first week where feasible, then iterate.
  • Own the build end to end: model real data and process, design agentic workflows, integrate, evaluate, release.
  • Build close to the people who operate the process; no requirements hand-off.
  • Meet the Minimum Viable Autonomy bar (evaluation, observability, escalation, controls) before production.
  • Reuse and compose existing AIP and agent capabilities; feed proven patterns to the catalogue and R&D.
  • Leave the customer able to run, monitor and adjust what has been built.
  • Partners one-to-one with the Value FDE. BVDE and PDE are separate roles. Bengaluru engineers back 25 of the 80 pods.

Connaissances

Python
Java
C++
TypeScript
LLM workflows
APIs & Cloud
Customer judgement
Travel to client sites

Description du poste

Sapiens in the United States is seeking a senior software engineer to turn ambiguous customer problems into production AI capabilities, as the technical half of the Value FDE and AI-FDE pair.

You will ship live capabilities quickly, own end-to-end builds, and design agentic workflows that operate close to the process. Occasional travel to client sites is expected to support delivery and adoption.

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