Full-Stack AI Developer

Experteer Overview In this role you will be a hands-on AI-enabled developer who builds across applications, automation, data, and business operations to uncover high-impact opportunities. You will deliver quick demonstrations and contribute to deeper engagements, with accountability for value, sustainable handoffs, and disciplined delivery. You’ll work at the intersection of IT, RPA, data, and AI-enabled delivery to drive measurable business value. This is a chance to shape enterprise-scale solutions while maintaining craftsmanship and governance. Compensation / Benefits * Deliver quick-strike solutions in days to weeks where value is clear and path is known * Contribute to deeper exploratory engagements over 1-3 months where value potential is high * Build prototypes, automations, integrations, data-driven workflows, and application features across Salesforce, MuleSoft, .NET, RPA, AI/ML tooling * Leverage AI development tools (Claude, Codex, Gemini, Copilot) to accelerate delivery while validating architecture, security, and operational risk * Collaborate with underwriting, claims, operations, and IT stakeholders to understand workflows and adoption constraints * Translate business problems into working software, experiments, and clear handoff packages * Document architecture, dependencies, limitations, prompts, runbooks, and operating considerations for the receiving team * Advise on pivoting or stopping non-valuable initiatives and avoid single-person dependencies * Shadow business workflows to ground solutions in real work * Communicate tradeoffs clearly to technical and non-technical audiences Tasks * Professional software development experience in enterprise environments with 5+ years * Full-stack capability across application development, integrations, APIs, data access, workflow automation, and user-facing delivery * Experience with multiple: Salesforce, MuleSoft, .NET/C#, JavaScript/TypeScript, SQL, REST APIs, RPA/tools, cloud services, CI/CD, enterprise data platforms * Practical experience using AI-assisted development tools or ability to adopt them quickly and responsibly * Strong debugging, problem decomposition, and self-directed learning skills * Ability to evaluate code quality, maintainability, patterns, security implications, and operational fit * Ability to write clear technical documentation and conduct knowledge transfer * Comfort with timeboxed engagements with defined outcomes, checkpoints, and handoffs * Experience in insurance/workflow-heavy domains is a plus * Exposure to enterprise architecture patterns, design patterns, domain modeling, relational DB design, or similar engineering disciplines * Experience building automations or AI-enabled solutions combining apps, data, docs, and human review workflows * Experience with prompt engineering, LLM evaluation, retrieval-augmented generation, agentic development workflows, or AI governance practices * Ability to operate within enterprise guardrails while challenging assumptions Key requirements *

and validating architecture, security, and operational risk * Collaborate with underwriting, claims, operations, and IT stakeholders to understand workflows and adoption constraints * Translate business problems into working software, experiments, and clear handoff packages * Document architecture, dependencies, limitations, prompts, runbooks, and operating considerations for the receiving team * Advise on pivoting or stopping non-valuable initiatives and avoid single-person dependencies * Shadow business workflows to ground solutions in real work * Communicate tradeoffs clearly to technical and non-technical audiences Tasks * Professional software development experience in enterprise environments with 5+ years * Full-stack capability across application development, integrations, APIs, data access, workflow automation, and user-facing delivery * Experience with multiple: Salesforce, MuleSoft, .NET/C#, JavaScript/TypeScript, SQL, REST APIs, RPA/tools, cloud services, CI/CD, enterprise data a security * Practical experience using AI-assisted development tools or ability to adopt them quickly and responsibly * Strong debugging, problem decomposition, and self-directed learning skills * Ability to evaluate code quality, maintainability, patterns, security implications, and operational fit * Ability to write clear technical documentation and conduct knowledge transfer * Comfort with timeboxed engagements with defined outcomes, checkpoints, and handoffs * Experience in insurance/workflow-heavy domains is a plus * Exposure to enterprise architecture patterns, design patterns, domain modeling, relational DB design, or similar engineering disciplines * Experience building automations or AI-enabled solutions combining apps, data, docs, and human review workflows * Experience with prompt engineering, LLM evaluation, retrieval-augmented generation, agentic development workflows, or AI governance practices * Ability to operate within enterprise guardrails while challenging aaaaaaa aaK_ Key requirements *