Fullstack Engineer (AI), Data & Digital

JOB DESCRIPTION

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.

• 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

BUSINESS SEGMENT

PLATFORM