AI Solution Engineer

• Home/Jobs/AI Solution Engineer
• AI Solution Engineer
• Sapiens
• Bengaluru
• 3+ years
• Today
• $26.5K–41.0K/yr
• Full-time
• Hybrid

Skills Required

• LLM
• RAG
• Anthropic
• Claude
• OpenAI
• MCP
• Playwright
• Selenium
• Python
• JavaScript
• TypeScript
• Node.js
• Test Automation
• CI

Description

Sapiens is looking for an AI Solution Engineer to help move AI use cases from pilot to production across automation, development, QA, and Implementation Engineering. This is a hands-on build-and-ship role focused on practical, reusable AI systems.

Company: Sapiens

Role: AI Solution Engineer

Location: Bangalore, India | Fulltime, Hybrid

Experience

• 3+ years of hands-on software engineering experience
• At least 2 years of practical experience building with LLM APIs
• Experience with test automation frameworks and CI/test infrastructure
• Experience building developer-facing tooling within the SDLC
• Strong communication skills for working with QA, engineering, and leadership stakeholders

• Develop and scale AI-powered tools for defect analysis, test automation, and performance engineering
• Build and extend agentic workflows using Claude/Anthropic APIs, MCP servers, and orchestration patterns
• Support the Dev team with code-review assistance, code and unit-test generation, and legacy-code comprehension
• Own the automation layer and design generic, reusable engines
• Partner with QA and Implementation Engineering to solve repeatable problems such as bug triage, root-cause classification, test coverage gaps, and defect-to-process mapping
• Accelerate Implementation Engineering delivery with AI-assisted configuration and data-mapping validation, requirement-to-test traceability, and generation of implementation and handover documentation
• Productionize AI initiatives from prototypes to hardened services with data validation, gating, and reporting
• Build reporting and insight layers with dashboards and analytics showing AI impact
• Drive AI governance and maintain tracking standards for AI usage and measurement
• Collaborate cross-functionally with QA, Dev, Performance, and Implementation teams across concurrent client projects

• Turn working prototypes into reliable, project-agnostic systems used across multiple client implementations
• Build AI tooling into the development workflow itself
• Extend browser automation frameworks into scalable, flows-based architectures
• Work on internal tools used daily by Dev engineers and QA teams
• Provide leadership with quantified visibility into hours saved, defect trends, and coverage gaps

• Background in the insurance industry, including P&C, Core Systems, Policy/Claims/Billing
• Experience with Azure AI Foundry or other enterprise AI orchestration platforms
• Experience with MCP or similar tool-orchestration frameworks

LLM APIs, prompt engineering, tool use, function calling, agentic pipelines, Model Context Protocol, test infrastructure, code review, version control, CI/CD pipelines, Jira, Confluence, Azure AI Foundry, API-based orchestration, dashboards, analytics, system prompts, browser automation, orchestration patterns

• Prepare for this role
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