We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

We are looking for a Contract Full Stack Software Engineer to support the development, integration, and operations of GenAI-enabled applications. This role focuses on hands-on engineering, SaaS integration, and technical problem-solving alongside internal technical teams.

Key Responsibilities

Provide Level 3 technical support for AI and SaaS-based tools, ensuring stability and timely issue resolution.
Configure, integrate, and maintain SaaS platforms”particularly those with AI-driven capabilities.
Implement enhancements that improve tool reliability, performance, and internal productivity.
Support deployments, integrations, and operational workflows for AI solutions across the organization.
Contribute to evaluation, testing, and rollout of new technologies (POCs, automation, integrations).
Develop automation to eliminate manual processes and reduce errors.
Apply industry best practices and emerging technologies to continuously improve system performance.

Technical Skills

Strong experience across full-stack development (front end + back end).
Frontend: React, TypeScript
Backend: Python or Java
Experience deploying applications in AWS (EKS, serverless components, queues, VPC, databases).
Proficiency with Terraform and Kubernetes for infrastructure and container orchestration.
Experience building multi-tenant and multi-user systems, including event-driven architectures.
Solid understanding of API design, OOP, design patterns, and automated testing (unit, load, integration).
Strong Git workflow experience.
Preferred Experience Exposure to GenAI/LLM application development.
Experience with embeddings/vector databases (pgvector, Chroma).
Knowledge of LLM RAG/agent architectures. Familiarity with Helm, Neo4j, GraphQL, Jenkins, and additional AWS managed services.
Experience with FastAPI, Next.js, and real-time communication (WebSockets, SSE, Pub/Sub tools).

Success Characteristics

Strong problem-solving abilities with a focus on reliability and scalable design.
Ability to work independently in a fast-paced environment.
Clear communication and collaboration with technical and functional teams.
Adaptability to changing requirements and new technologies.

Qualifications

Must have Skills: React (Expert), TypeScript, FastAPI (Expert), Generative AI Fundamentals (Strong)

Good To Have Skills: Kubernetes (Strong)