Fullstack Engineer (AI), Data & Digital

About the Role

We are seeking a highly skilled Full Stack Engineer (AI) to drive the design, development, and deployment of AI‑powered data solutions within our enterprise environment. This role requires a strong foundation in full‑stack software engineering , combined with hands‑on experience building cloud‑native, production‑grade systems that interact with modern AI platforms.

You will be responsible for architecting end‑to‑end UI‑to‑data pipelines , integrating user interfaces with AI services, and enabling multi‑agent orchestration workflows on organizational AI platforms. If you bring a strong production mindset, a passion for scalable architectures, and enjoy translating complex UI concepts into real‑world enterprise applications, we would love to work with you.

Key Responsibilities

End‑to‑End System Development

• Architect, build, and deploy production‑ready full‑stack systems , including data pipelines, automated tools, and multimodal document processing solutions.

Full‑Stack & Frontend Engineering

• Develop modern, responsive user interfaces using React , TypeScript , and/or other modern scripting languages.
• Build robust backend APIs and services that integrate AI platforms with enterprise applications.

Cloud‑Native Infrastructure

• Build and operate scalable, serverless architectures using AWS services (e.g., Lambda, ECS, API Gateway, S3, DynamoDB).

AI Platform Integration

• Integrate applications with organizational AI platforms and external AI services, including inference endpoints and agent‑based systems.
• Implement orchestration patterns for multi‑agent workflows and AI‑driven automations.

Observability & DevOps

• Implement comprehensive full‑stack observability , including monitoring of performance, latency, token usage, and cost.
• Design and maintain CI/CD pipelines with automated testing, quality gates, and deployment strategies.

Technical Leadership & Collaboration

• Contribute to architectural decisions, coding standards, and engineering best practices.
• Promote effective code sharing, versioning, documentation, and cross‑team collaboration.

Required Qualifications

Experience & Background

• 5–6 years of professional experience in full‑stack software engineering delivering enterprise‑grade applications to production.

Programming & Frameworks

• Strong proficiency in Python for backend and AI‑integrated services.
• Hands‑on experience with React , TypeScript , and/or similar modern scripting languages.
• Familiarity with modern frontend and UI ecosystems (e.g., Next.js, micro‑frontends, agent‑driven UI frameworks).

Cloud & DevOps

• Strong hands‑on experience with AWS , including services such as Bedrock, EC2, S3, CloudFront, and Lambda.
• Experience with Docker and containerized workloads.
• Solid understanding of CI/CD automation using tools such as GitHub Actions , Fastlane, or equivalent.

Data, Search & AI

• Experience working with relational databases , vector databases , and hybrid search approaches.
• Exposure to multimodal AI models and services for document, image, and diagram extraction.
• Familiarity with AI/ML service integration in production environments.

Nice to Have

• Experience with mobile‑ready architectures and integration patterns (e.g., iOS, Flutter, MVVM).
• Prior experience working in highly regulated or large‑scale enterprise environments.

Why Join Us

• Work at the cutting edge of AI, data platforms, and multi‑agent systems .
• High‑impact role with autonomy to shape architecture and technical direction.
• Collaborative, engineering‑first culture that values clean code , robust systems , and continuous learning .
• Opportunity to build real‑world AI applications used at enterprise scale.

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JOB REQUIREMENTS

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BUSINESS SEGMENT

Corporate

PLATFORM

Operating Division