Sapiens

SaaS insurance software for core processes

L2 Support Engineer - AI

Customer SupportPosted on Nov 11

Full-timeLithuaniaNo salary listedHybrid

About the Job

Requirements

The role requires 0–18 months of technical support, application support, or related engineering-adjacent experience.
Strong analytical and root-cause troubleshooting skills are required.
Knowledge enabling troubleshooting of Python, TypeScript, Java, and modern AI/LLM frameworks such as LangChain is required.
Knowledge of cloud platforms including AWS and Azure, Kubernetes, containerization, SQL/vector databases, and REST APIs is required.
Experience with ticketing and monitoring tools such as Zendesk/Jira, log aggregators such as ELK/Splunk/Datadog, and APM tools is required.
A basic understanding of REST APIs, integrations, and system architecture is required.
The ability to explain technical issues clearly to technical and non-technical audiences is required.
The role requires ownership of issues through resolution without L3 backup.
The ability to support development of L0 AI agents by creating knowledge and other artifacts is required.
The role requires comfort working with sensitive or regulated data and following change-control processes.
The role requires working with AI agents as part of the support team.
A Bachelor of Science or Master of Science is required in Computer Engineering, Computer Science, Data Science/Analytics, Software Engineering, AI, or another highly quantitative or STEM field, with Mathematics, Physics, and Management Information Systems given as examples.
Fluency in English is required.

Responsibilities

Own support tickets by conducting deep-dive technical investigations and root-cause analyses.
Understand how large-scale enterprise systems connect through APIs.
Maintain clean data structures and algorithms and optimized performance in high-pressure real-world environments.
Use cloud computing and DevOps tools, including AWS, Azure, GCP, Docker, and Kubernetes, in hands-on work.
Apply understanding of generative AI workflows, Retrieval-Augmented Generation (RAG), and vector databases used in modern FDE roles.
Reproduce complex issues in test and staging environments.
Distinguish between user error, configuration issues, code errors, and genuine product defects.
Manage the interface with Engineering and Product for confirmed bugs by preparing technical write-ups, reproduction steps, and business-impact assessments; track fixes through release and validate them with the customer.
Support and adjust L0 agents by reviewing escalations, providing troubleshooting guidance, and contributing to L0 AI-agent training.
Own and expand the technical knowledge base with advanced troubleshooting guides, known-issue articles, and workarounds.
Perform basic data corrections or queries where appropriate and within governance guidelines, such as SQL scripts under change control.
Troubleshoot integrations involving APIs, file feeds, and third-party connections common in insurance ecosystems, including policy administration, claims, and payment providers.
Participate in post-incident reviews and contribute to problem management.
Document all actions and data changes to ensure they are auditable and comply with insurance-industry requirements.
Own complex, escalated, technically demanding issues beyond L0 scope, including data-related, AI-coding, configuration, integration, and product-behavior problems specific to the AIP product.
Act as the technical bridge to FDEs and work with Product, Engineering, and Cloud teams when a defect or product limitation is confirmed; own the end-to-end resolution process from a support perspective.

Start your career where innovation meets real impact.
Sapiens Accelerate is our global Early Careers Programme, designed for graduates with up to 18 months of experience, who are ready to learn, contribute, and shape the future of insurance. From day one, you'll work on meaningful projects, collaborate with experts across the business, build practical AI skills, and develop the capabilities needed to thrive in a global technology company.

Role purpose:
The L2 Support Engineer handles escalated, complex, and technically demanding issues that go beyond L0 scope, including data-related, AI coding, configuration, integration, and -behaviour problems specific to our AIP product. As L3/engineering is not part of this organisation, the L2 role also acts as the technical bridge to the FDE’s. Additionally working with, product/engineering/cloud team when a defect or product limitation is confirmed and owns the resolution process end-to-end from a support perspective.

Responsibilities

• Own tickets conducting deep-dive technical investigation and root-cause analysis
• Software Design & Architecture: Understanding how large-scale enterprise systems connect via APIs.
• Data Structures & Algorithms: Maintaining clean, optimized performance under high-pressure real-world environments.
• Cloud Computing & DevOps: Hands-on experience with AWS, Azure, GCP, or containerization tools like Docker and Kubernetes.
• Applied AI / Machine Learning: Understanding Generative AI workflows, Retrieval-Augmented Generation (RAG), and vector databases—which are heavily used in modern FDE roles
• Trouble Shooting: Reproduce complex issues in test/staging environments
• Distinguish between user error, configuration issues, code errors, and genuine product defects
• Manage the interface with Engineering/Product for confirmed bugs: prepare technical write-ups, reproduction steps, business impact assessments; track fixes through release and validate with the customer
• Support and adjust L0 Agents: review escalations, provide troubleshooting guidance, contribute to L0 AI agent training
• Own and expand the technical knowledge base (advanced troubleshooting guides, known-issue articles, workarounds)
• Perform basic data corrections/queries where appropriate and within governance guidelines (e.g., SQL scripts under change control)
• Support integration-related troubleshooting (APIs, file feeds, third-party connections common in insurance ecosystems: policy admin, claims, payment providers)
• Participate in post-incident reviews and contribute to problem management
• Ensure all actions and data changes are properly documented and auditable, in line with insurance industry compliance requirements
Reporting to: Customer Support Team Lead / Manager

Requirements

Experience:
• 0–18 months technical support, application support, or a related engineering-adjacent role
Skills & Competencies:
• Strong analytical and root-cause troubleshooting skills
• Demonstrated knowledge to enable troubleshooting Python, TypeScript, Java, and modern AI/LLM frameworks (e.g., LangChain).
• Knowledge of Cloud platforms (AWS, Azure), Kubernetes, containerization, SQL/vector databases, and REST APIs.
• Experience with ticketing and monitoring tools (Zendesk/Jira, log aggregators such as ELK/Splunk/Datadog, APM tools)
• Basic understanding of REST APIs, integrations, and system architecture
• Ability to explain technical issues clearly to both technical and non-technical audiences
• Strong ownership mentality — able to drive an issue to resolution without L3 backup
• Ability to support development of L0 AI agents with creation of knowledge and other artifacts
• Comfortable working with sensitive/regulated data and following change control processes
• Working with AI Agents as part of support team
Education:
• Bachelor of Science (BSc) or Master of Science (MSc)
• Computer Engineering, Computer Science, Data Science / Analytics, Software Engineering, AI
• Other highly quantitative or STEM fields (e.g., Mathematics, Physics, or Management Information Systems),
Language:
• Fluent in English
Success metrics (KPIs):
• Escalated ticket resolution time within SLA
• Root-cause identification rate (vs. workaround-only resolutions)
• Quality and speed of engineering handover documentation for confirmed defects
• Reduction in repeat/recurring escalations
• CSAT on escalated/complex cases
• L0 knowledge base contribution impact
• AI Usage

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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