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Sapiens

SaaS insurance software for core processes

AI Solution Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIndiaNo salary listedHybrid

About the Job

Requirements

  • At least 3 years of hands-on software engineering experience writing production code.
  • At least 2 years of practical experience building with large language model APIs such as Anthropic/Claude, OpenAI, or similar, including prompt engineering, tool use/function calling, agentic pipelines, and retrieval-augmented generation.
  • Programming skills in Python and/or JavaScript/TypeScript (Node.js).
  • Experience with test automation frameworks such as Playwright, Selenium, or similar, and CI/test infrastructure.
  • Experience building developer-facing tooling and working within the software development life cycle, including code review, version control workflows, and continuous integration/continuous delivery pipelines.
  • Familiarity with Jira/Confluence and working with structured project data at scale.
  • Ability to turn ambiguous business problems into scoped, shippable tools, prototype quickly, and productionize them.
  • Ability to communicate and work directly with QA, engineering, and leadership stakeholders across multiple projects.

Responsibilities

  • Develop and scale AI-powered tools for defect analysis, test automation, and performance engineering, turning prototypes into reliable, project-agnostic systems used across client implementations.
  • Build and extend agentic workflows using Claude/Anthropic APIs, MCP servers, and orchestration patterns, including Playwright-based agents, Jira/Confluence integrations, and retrieval-augmented generation pipelines.
  • Build AI tooling into the development workflow, including code-review assistance, code and unit-test generation, legacy-code comprehension, and adoption of coding agents across development squads.
  • Design reusable automation engines, including extending browser automation frameworks into scalable, flows-based architectures.
  • Partner with QA and Implementation Engineering to identify repeatable problems such as bug triage, root-cause classification, test coverage gaps, and defect-to-process mapping, and turn them into AI-driven pipelines.
  • Accelerate Implementation Engineering delivery through AI-assisted configuration and data-mapping validation, requirement-to-test traceability, and generation of implementation and handover documentation from project artifacts.
  • Productionize AI initiatives by taking internal tools from Claude-based prototypes to hardened services, including Azure AI Foundry or API-based orchestration, with data validation, gating, and reporting.
  • Build reporting and insight layers, including structured system prompts, dashboards, and analytics that quantify AI impact such as hours saved, defect trends, and coverage gaps.
  • Help define and maintain AI usage and measurement tracking standards across Bug, Bug Customer, and Test workflows.
  • Collaborate with QA, Development, Performance, and Implementation teams across concurrent client projects.

Desired Qualifications

  • Experience with MCP (Model Context Protocol) or similar tool-orchestration frameworks.
  • Background in the insurance industry, including property and casualty, core systems, policy, claims, or billing.
  • Experience with Azure AI Foundry or other enterprise AI orchestration platforms.

About the Company

Sapiens

SaaS insurance software for core processes

Sapiens provides cloud-based software for the insurance industry, offering modules for policy administration, claims management, and underwriting to help insurers run operations more efficiently. Its products are accessed as a software-as-a-service, delivering end-to-end insurance workflows through integrated modules that handle policies, claims, and risk with regular updates. The company differentiates itself through a long track record since 1982, a broad, integrated product portfolio, and a global footprint, strengthened by acquisitions like Candela and AdvantageGo to expand capabilities and regional reach, especially in Asia-Pacific. Its goal is to help insurers deliver better customer experiences by providing scalable, cloud-based software and services to support core processes.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Holon, Israel
Founded
1982

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