Staff AI Engineer: Architect GenAI & Agentic Workflows

Jobgether; Oregon; Hybrid; USD 166,000 - 228,000; Full time

Benefits offered by this job

Competitive pay

Healthcare

401(k)

Paid time off

Professional development

Technical ownership

Collaborative environment

Career growth

Job summary

Jobgether is seeking a Staff Engineer / AI Builder based in the United States to own architecture, development, and deployment of production-grade AI and ML systems. You will lead agentic workflows, generative AI applications, and scalable infrastructure, collaborating across backend, frontend, and cloud environments.

You will mentor engineers, help set engineering standards, and influence architectural decisions while delivering measurable client value in enterprise AI initiatives.

Qualifications

• 6+ years of professional software engineering experience with production-grade AI/ML systems.
• Hands-on experience with agentic AI engineering and multi-agent orchestration.
• Experience with AWS Bedrock and cloud-native AWS services.
• Strong Python and Node.js programming skills.
• Ability to own complex integration-heavy challenges.

Responsibilities

• Design, develop, and maintain agentic workflows and multi-agent architectures.
• Build RAG pipelines with embeddings and vector search.
• Develop AI solutions using AWS Bedrock and Agent Core.
• Create production-ready system prompts with instructions and constraints.
• Implement evaluation and observability frameworks (LangFuse/LangSmith).
• Build backend services and RESTful APIs using Python and Node.js.
• Support cloud deployments with AWS, Docker, and serverless architectures.
• Lead architectural discussions and mentor engineers.
• Collaborate with Product, Design, and Delivery teams.

Skills

Analytical thinking

Technical leadership

Mentoring

Cross-functional collaboration

Education

Bachelor's degree in CS or related field

Tools

Python

Node.js

AWS Bedrock

Docker

DynamoDB

S3

Lambda

API Gateway

Job description

Jobgether is seeking a Staff Engineer / AI Builder based in the United States to own architecture, development, and deployment of production-grade AI and ML systems. You will lead agentic workflows, generative AI applications, and scalable infrastructure, collaborating across backend, frontend, and cloud environments.

You will mentor engineers, help set engineering standards, and influence architectural decisions while delivering measurable client value in enterprise AI initiatives.