AI Developer

Qualifications

• Degree in Computer Science or related technical discipline (or equivalent experience)
• Hands-on experience with cloud-native application development, especially on AWS
• Strong understanding of Agile/Scrum practices
• Ability to work collaboratively across distributed teams
• Excellent problem-solving and communication skills
• Experience delivering AI-enabled features or automation at scale
• AWS certification (e.g., Developer Associate, Solutions Architect)
• Familiarity with serverless and containerized environments (Lambda, ECS, Fargate)
• Practical experience with GenAI, ML model deployment, or MLOps workflows
• Prior experience integrating LLMs or AI services into production-grade software
• Bachelor's (Required)
• AWS: 2 years (Required)

Benefits

• Pay: $80,000.00 - $150,000.00 per year
• Compensation Package:
• Bonus opportunities
• Monday to Friday

Responsibilities

• This role supports a large-scale enterprise client by contributing to the ongoing development of a custom AWS-native platform
• You’ll work closely with cross-functional teams and external technology partners to build AI-driven features that address real-world business needs
• Collaborate with internal stakeholders to design and implement scalable AI services aligned with evolving business objectives
• Build and maintain full stack applications using React, TypeScript, Node.js, and Python
• Develop and manage AI/ML pipelines using Amazon Bedrock, SageMaker, or other AWS GenAI tools
• Contribute to infrastructure automation using AWS CDK and support CI/CD workflows
• Ingest and process large data sets from sources like BIM360, Asana, and Workdocs using Glue, Lambda, and related services
• Create and optimize Redshift-based data models and visualizations with QuickSight
• Participate in UI modernization projects (e.g., migrating from Streamlit to React-based frameworks like Harmony or Chaperone)
• Partner with DevOps to support stable deployments across multiple environments

Full Description

About the Role

We are looking for a skilled AI Developer with over 2 years of professional experience to join our internal engineering team. This role supports a large-scale enterprise client by contributing to the ongoing development of a custom AWS-native platform. You’ll work closely with cross-functional teams and external technology partners to build AI-driven features that address real-world business needs.

This is not a short-term contract or staffing role. We value long-term collaborators who want to grow with the team, continuously improving the platform and delivering impactful solutions. The role is based in Bellevue, WA, though remote work is available for candidates with strong qualifications and prior enterprise experience.

Key Responsibilities

Collaborate with internal stakeholders to design and implement scalable AI services aligned with evolving business objectives

Build and maintain full stack applications using React, TypeScript, Node.js, and Python

Develop and manage AI/ML pipelines using Amazon Bedrock, SageMaker, or other AWS GenAI tools

Contribute to infrastructure automation using AWS CDK and support CI/CD workflows

Ingest and process large data sets from sources like BIM360, Asana, and Workdocs using Glue, Lambda, and related services

Create and optimize Redshift-based data models and visualizations with QuickSight

Participate in UI modernization projects (e.g., migrating from Streamlit to React-based frameworks like Harmony or Chaperone)

Partner with DevOps to support stable deployments across multiple environments

Basic Qualifications

Degree in Computer Science or related technical discipline (or equivalent experience)

Hands-on experience with cloud-native application development, especially on AWS

Strong understanding of Agile/Scrum practices

Ability to work collaboratively across distributed teams

Excellent problem-solving and communication skills

Experience delivering AI-enabled features or automation at scale

Preferred Qualifications

AWS certification (e.g., Developer Associate, Solutions Architect)

Familiarity with serverless and containerized environments (Lambda, ECS, Fargate)

Practical experience with GenAI, ML model deployment, or MLOps workflows

Prior experience integrating LLMs or AI services into production-grade software

Why Join Us?

You’ll be part of a collaborative, mission-driven team helping to shape the future of enterprise tools through AI. This is an opportunity to do meaningful work on a long-term, strategic initiative for a Fortune-level client — without the churn of short contracts or staffing firm placements.

Job Types: Full-time, Contract

Pay: $80,000.00 - $150,000.00 per year

Compensation Package:

• Bonus opportunities

Schedule:

• Monday to Friday

Education:

• Bachelor's (Required)

Experience:

• AWS: 2 years (Required)

Ability to Commute:

• Bellevue, WA (Preferred)

Ability to Relocate:

• Bellevue, WA: Relocate before starting work (Preferred)

Work Location: In person