Senior Full Stack AI Engineer w/Node.js TypeScript

Job Description

Job Title: Senior Full Stack AI Engineer w/Node.js TypeScript

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Location: Des Moines, IA

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Work Arrangement: Onsite

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Employment Type: Contract

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Duration: 6+ months

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Domain: Information Technology | Enterprise Software & Generative AI

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

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Application Deadline: October 29, 2026

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No. of Opening: Two

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SKILLS REQUIRED

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Primary (Must-Have):

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• Strong hands-on Node.js / TypeScript development experience

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• AWS Cloud Services (Amazon Bedrock, AWS CDK, API Gateway, Lambda, Fargate, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch)

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• Infrastructure as Code (IaC) via AWS CDK

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

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Secondary (Good to Have):

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

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• CI/CD, Enterprise Automated Testing & Debugging

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• Modern Database Design (DynamoDB & PostgreSQL)

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POSITION OVERVIEW

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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.

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ROLES & RESPONSIBILITIES

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

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

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

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

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• 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.

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BENEFITS

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Medical | Dental | Vision | 401(k)

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EEOC Compliance:

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

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DISCLAIMER

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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.