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Full Stack Node.JS & AWS Generative AI Engineer

Pacer Group

🇺🇸Sarasota, USseniorhybrid104.9K–149.8K USD

  • aws api gateway
  • aws bedrock
  • aws cdk
  • aws cloudwatch
  • aws eventbridge
  • aws fargate
  • aws lambda
  • aws s3
  • ci/cd
  • dynamodb
  • node.js
  • postgresql
  • rest apis
  • typescript

Job Title: Full Stack Node.JS & AWS Generative AI Engineer

Location: Des Moines, IA 50309

Work Arrangement: Hybrid (3 Days Onsite)

Employment Type: Contract

Duration: 6 months (June 22, 2026 – December 31, 2026)

Pay Range: $50.45/hr. to $55.38/hr. on W2 | $64.29/hr. to $72.00/hr. on C2C

Domain: Healthcare / Insurance Technology

Application Deadline: June 20, 2026

Note: The selection process includes a rigorous live technical coding assessment.

SKILLS REQUIRED

Primary (Must-Have):

• Node.js & TypeScript: Professional backend and full-stack development experience utilizing TypeScript as the primary ecosystem.

• AWS Cloud Ecosystem: Hands-on mastery of foundational AWS services including Lambda, API Gateway, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, and AWS Fargate.

• AWS Bedrock & Generative AI: Minimum of 1 year of production experience building Generative AI platforms, enterprise knowledge assistants, and chatbots.

• RAG Architecture: Strong understanding of Retrieval-Augmented Generation (RAG) paradigms, including embeddings, text chunking strategies, semantic retrieval, and vector search.

• Infrastructure as Code (IaC): Advanced automation provisioning using AWS Cloud Development Kit (CDK) to build and deploy architecture.

• Core Engineering Fundamentals: Deep proficiency in RESTful API engineering, software testing, debugging, and production CI/CD pipelines.

Secondary (Good to Have):

• LLM Fine-Tuning & Controls: Practical knowledge adjusting hyperparameters (top-k, top-p) and structuring prompt design for improved grounding and reliability.

• AI Security Governance: Experience establishing guardrails, mitigation techniques for hallucinations, and safety controls against prompt injection or jailbreak attempts.

• Cross-functional Collaboration: Proven ability to interface with product, QA, architecture, and information security departments within a high-velocity environment.

POSITION OVERVIEW

We are searching for a Senior Full Stack AI Engineer to design and deploy enterprise-scale Generative AI applications out of our Des Moines, IA office. This hybrid role requires a strong, hands-on engineering background centered on Node.js/TypeScript and AWS. You will be responsible for bringing AI capabilities (such as RAG-driven knowledge assistants and custom copilots) out of experimental stages and into production-grade business workflows. The ideal candidate is a high-output builder who thrives in structural coding assessments and enjoys solving complex data orchestration challenges.

ROLES & RESPONSIBILITIES

• Design, build, and deploy secure, backend-heavy full-stack architectures and enterprise APIs that smoothly hook AI capabilities into core business operations.

• Construct production-ready Generative AI features using AWS Bedrock, optimizing chatbot frameworks and automated search systems through structured RAG concepts.

• Maintain entire cloud environments using AWS CDK for Infrastructure as Code, deploying containerized applications into AWS Fargate and managing serverless endpoints.

• Configure and maintain robust database performance using both SQL (PostgreSQL) and NoSQL (DynamoDB) solutions to scale alongside model requirements.

• Establish technical controls for LLM performance, executing defensive software design patterns to intercept prompt injections, mitigate hallucinations, and ensure output quality.

• Participate actively in code reviews, technical documentation creation, and cross-functional planning sessions alongside QA, cloud architecture, and security stakeholders.

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.

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