AI FullStack Developer

Role Overview

We are seeking an AI FullStack Developer to build and scale productiongrade applications that integrate AI/ML capabilities into both userfacing interfaces and backend services. This role blends strong fullstack engineering fundamentals with handson experience integrating LLMs AI agents and ML services into realworld workflows.

The ideal candidate is comfortable moving endtoendfrom UI/UX for AI features to backend orchestration of model inferencewhile following secure SDLC practices and collaborating closely with platform and architecture teams.

Key Responsibilities

• Build fullstack applications that integrate AI/ML outputs into frontend experiences and backend workflows
• Develop APIs and services to orchestrate:
  • Model inference
  • Prompt flows
  • Agent and tool/function integrations
• Leverage AI coding assistants (GitHub Copilot agentic IDEs) to accelerate development while maintaining high code quality
• Design and implement UI/UX experiences for AI features including:
  • AI explanations and transparency
  • User feedback loops
  • Humanintheloop controls
• Apply secure SDLC practices:
  • Code reviews
  • Automated testing
  • Dependency management
  • Vulnerability remediation
• Collaborate with architects and platform teams to align with enterprise standards and reuse shared components
• Deliver iteratively in an Agile environment contributing to continuous improvement

Required Qualifications

• 5 years of experience building productiongrade software (backend and/or frontend)
• Strong development experience in one or more of the following ecosystems:
  • Java
  • Python
  • .NET
• Experience with modern web frameworks and UI technologies:
  • React or similar frameworks
• Strong experience developing RESTful APIs
• Working knowledge of:
  • CI/CD pipelines
  • Git workflows
  • Automated testing frameworks
• Experience integrating with:
  • ML services
  • LLM / agent runtimes
  • Data platforms via APIs
• Strong analytical and problemsolving skills
• Proven ability to deliver solutions incrementally in an Agile environment

AISpecific Experience (Highly Desired)

• Experience building internal AI tools or copilots
• Handson experience with:
  • Prompt engineering
  • Tool / function calling
  • Agentbased workflows
• Familiarity with observability for AI features including:
  • Quality and performance metrics
  • Prompt and model versioning
• UX experience designing AIdriven interactions feedback capture and explainability features

NicetoHave Skills

• Experience working with modern AI/ML platforms or cloud AI services
• Knowledge of monitoring logging and alerting for AIenabled systems
• Experience collaborating with data science or ML engineering teams