AmTrust Financial

Full Stack Senior Technical Developer – AI Driven Micr

Job Summary

  • Full-time
  • Remote

Job Overview

About the role

**Full Stack Senior Technical Developer – AI Driven**** .NET**

**Location:** Remote

**Experience:** 8-10 Years

**About the Role:** We are seeking an experienced Full Stack Senior Technical Developer with strong architectural understanding and technical implementation capabilities to work the development of next generation AI-powered applications. You will be responsible for designing, developing, and delivering enterprise-grade solutions while mentoring a team of 2-3 developers. Excellent communication and interpersonal skills and strong problem-solving and decision-making capabilities. Candidates with prior experience in the Insurance industry will be given preference.

This role requires a hands-on technical experience on Microsoft .NET, who can drive the development of Agentic AI, Generative AI, and Retrieval-Augmented Generation (RAG) solutions for a leading multinational organization. If you are passionate about full-stack development, AI technologies, and building scalable enterprise applications, this opportunity is for you.

**Key Responsibilities: **

Core Technical

  • Contribute to the architecture and design of end-to-end full-stack solutions.
  • Make critical technical decisions and provide technical direction to the development team.
  • Ensure adherence to software engineering best practices and enterprise architecture standards.

**Full-Stack Development:**

  • Design, develop, and maintain scalable production-grade applications.
  • Develop modern web applications using Microsoft .NET technologies and Blazor.
  • Engineering excellence through coaching, code reviews, technical discussions, and continuous learning initiatives.
  • Build secure, reusable, and high-performance backend services and APIs.

**AI & Generative AI Integration:**

  • Lead the implementation of AI-powered capabilities using Generative AI and Agentic AI frameworks.
  • Design and develop RAG solutions leveraging vector search and enterprise knowledge sources.
  • Implement prompt engineering strategies and optimize AI application performance.
  • Integrate OpenAI, Anthropic, and local LLM solutions such as Ollama.

**API & Integration:**

  • Design, develop, and consume RESTful APIs. (minimum 3-4 years’ experience)
  • Integrate applications with enterprise platforms, third-party services, and AI models.

**DevOps & Cloud Engineering:**

  • Support containerization, CI/CD pipelines, deployment automation, and cloud infrastructure.
  • Collaborate with DevOps teams to maintain scalable and reliable environments.
  • Contribute to platform observability, performance tuning, and operational excellence.

**Security, Performance & Reliability:**

  • Ensure applications meet security, scalability, and performance requirements.
  • Drive continuous improvement in code quality, testing, and deployment practices.
  • Own application reliability and production support activities where required.

**Business Domain Knowledge:** Candidates with prior experience in the Insurance industry will be given preference, particularly any in the following business areas

  • Insurance Policy Administration.
  • Bordereaux Processing and Reporting.
  • Premium Management and Accounting.
  • Claims Management and Claims Processing.
  • Complaint and Customer Resolution Management.
  • Underwriting Operations.
  • Broker and MGA (Managing General Agent) processes.
  • Regulatory and Compliance Reporting.
  • Insurance Data Integration and Migration projects.
  • Digital Transformation initiatives within Insurance organizations.

**Primary Technical Skills:**

Full Stack Development

  • Blazor (.NET) – Minimum 6+ years of hands-on experience.
  • C# /.NET Core / ASP.NET Core.
  • TypeScript.
  • REST API development and integration.
  • Python.

**AI / Large Language Models (LLMs):**

  • OpenAI APIs.
  • Anthropic APIs.
  • Semantic Kernel.
  • Microsoft Agent Framework (MAF).
  • RAG Pipelines.
  • Prompt Engineering.
  • Ollama and local LLM deployment.

**Databases:** Primary (Strong Experience - 4 to 5+ Years)

  • Microsoft SQL Server.
  • PostgreSQL.
  • MongoDB.

**Secondary (Optional):**

  • Vector Databases.
  • Redis.
  • Kafka.

**DevOps & Engineering Tools:**

  • GitHub Copilot.
  • OpenCode.
  • Docker.
  • Kubernetes.
  • Git.
  • CI/CD Pipelines.
  • Azure DevOps (ADO).

**Nice to Have Skills:**

  • Power BI.
  • Centerprise ETL.
  • Azure Data Factory (ADF).
  • Azure AI Services.
  • Azure OpenAI.

**Core Competencies:**

  • Full-Stack Engineering Excellence.
  • Understand Architecture & Design.
  • Hands on Technical Implementation.
  • Database Design & Performance Optimization.
  • AI / Generative AI Development.
  • DevOps & CI/CD Best Practices.
  • Cloud-Native Development.
  • Code Quality & Engineering Governance.
  • Problem Solving & Decision Making.
  • Stakeholder Communication & Collaboration.

**Preferred Candidate Profile:**

  • 8-10 years of software development experience with strong full-stack expertise.
  • Proven experience technical implementation with the teams and delivering enterprise scale applications.
  • Demonstrated experience with AI, Generative AI, Agentic AI, and RAG implementations.
  • Strong understanding of software architecture, design patterns, and scalable systems.
  • Excellent communication and teamwork.
  • Ability to work independently in a fast-paced and innovation-driven environment.
  • Candidates with prior experience in the Insurance industry will be given preference.

**What We Offer:**

  • Opportunity to build cutting-edge AI-powered enterprise solutions.
  • Exposure to Agentic AI, Generative AI, and advanced LLM ecosystems.
  • Senior role with significant technical influence and future growth.
  • Flexible remote working environment.
  • Opportunity to learn and collaborate with diverse global teams across multiple disciplines and geographies, driving innovation, building a strong engineering culture, and accelerating your leadership and technical growth.
  • Career growth within a global enterprise ecosystem.