Hands-on Full Stack Engineer with strong front-end skills and solid SQL experience, who will build and enhance business applications. The right person with hands on experience with AI tools or APIs, or is clearly ready to move into AI-driven development. Over time, the role will take on more AI-enabled features.
Key responsibilities
Design, build and maintain responsive web applications across front end and back end
Build clean, reusable UI components with a strong focus on usability and performance
Write and tune SQL queries, stored procedures and scripts for reporting and application data
Build and consume REST APIs and integrate with internal and third-party services
Help add AI capabilities to applications, such as LLM integrations, chat assistants, document summarization and intelligent search
Work closely with business stakeholders, product owners and QA in an Agile team
Take part in code reviews, testing and deployments through CI/CD pipelines
Must-have skills
Strong front-end experience with React or Angular, plus JavaScript, TypeScript, HTML5 and CSS
Back-end development in .NET (C#), Java or Node.js
Strong SQL skills (SQL Server, Oracle or PostgreSQL), including complex queries, stored procedures and performance tuning
Experience building and integrating REST APIs
Working knowledge of Git and CI/CD tools (Azure DevOps, GitHub Actions or Jenkins)
Strong communication skills and comfort working directly with client stakeholders onsite
AI experience (required or clear transition path)
Hands-on with AI APIs or platforms such as OpenAI, Azure OpenAI, AWS Bedrock or Google Vertex AI, or
Clear evidence of moving into AI work, such as personal projects, certifications or internal POCs
Familiarity with prompt engineering, RAG patterns or vector databases is a strong plus
Experience using AI coding assistants (GitHub Copilot or similar) in day-to-day development
Nice to have
Insurance or financial services domain experience
Cloud experience (Azure or AWS)
Python for scripting or AI work
Exposure to microservices and containerization (Docker, Kubernetes)
