Senior Full Stack AI Engineer w​/Node.js TypeScript

Job Title:

Senior Full Stack AI Engineer w/Node.js Type Script

Location:

Des Moines, IA

Work Arrangement:
Onsite

Employment Type:

Contract

Duration: 6+ months

Domain:
Information Technology | Enterprise Software & Generative AI

Pay Rate: $58.00/hr W2 | $70.00/hr C2C

Final date to receive applications:
October 20, 2026

No. of Opening:
Two

SKILLS REQUIRED

Primary (Must-Have):

• Strong hands-on Node.js / Type Script development experience

• AWS Cloud Services (Amazon Bedrock, AWS CDK, API Gateway, Lambda, Fargate, S3, Event Bridge, DynamoDB, PostgreSQL, Cloud Watch)

• Infrastructure as Code (IaC) via AWS CDK

• Generative AI Engineering (RAG architecture, vector search, embeddings, prompt engineering, AI chatbots/copilots)

Secondary (Good to Have):

• AI Safety & Guardrails (Prompt injection mitigation, output validation, hallucination controls)

• CI/CD, Enterprise Automated Testing & Debugging

• Modern Database Design (DynamoDB & PostgreSQL)

POSITION OVERVIEW

The Engineering & Technology department is seeking a Senior Full Stack AI Engineer to accelerate the deployment of enterprise-grade Generative AI applications and knowledge assistants. Reporting to the Engineering Lead, the selected candidate will solve critical data retrieval and business process bottlenecks by engineering secure, scalable AWS-hosted backend APIs and RAG-based AI workflows. This position demands a high-output software builder capable of directly bridging cutting-edge LLM capabilities with production-ready enterprise systems.

ROLES & RESPONSIBILITIES

• Architect, build, and deploy production-ready backend services and APIs using Node.js and Type Script.

• Design, deploy, and manage scalable cloud infrastructure using AWS CDK, integrating services including Amazon Bedrock, Lambda, API Gateway, Fargate, DynamoDB, and PostgreSQL.

• Develop enterprise Generative AI workflows, leveraging retrieval-augmented generation (RAG), vector search, embeddings, chunking, and prompt engineering strategies to deliver reliable AI copilots.

• Implement robust AI output validation, safety guardrails, content moderation, and controls to mitigate risks such as prompt injections and model hallucinations.

• Collaborate cross-functionally with product, architecture, QA, security, and enterprise stakeholders to integrate scalable AI capabilities into core business workflows and maintain CI/CD pipelines.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy:
Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.