Senior Full Stack AI Engineer

Cynet Systems • Des Moines, IA

2d

About The Position

The Senior Full Stack AI Engineer develops modern applications and backend- or platform-oriented full-stack solutions, including APIs, services, databases, cloud deployment, and operational support. The role focuses on Node.js and TypeScript, AWS services, infrastructure as code using AWS CDK, and integrating Generative AI capabilities into enterprise workflows. The engineer collaborates with product, engineering, QA, architecture, security, and business stakeholders.

Requirements

• 6–8 years of software engineering experience, including strong hands-on modern application development.
• Strong experience with Node.js and TypeScript.
• Strong experience building backend/platform-oriented full-stack solutions, including APIs, services, databases, cloud deployment, and operational support.
• Strong AWS experience, including hands-on experience with API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, CDK, and Fargate.
• Experience with infrastructure as code, with strong hands-on use of AWS CDK.
• At least 1 year of hands-on experience building Generative AI solutions.
• Practical understanding of prompt engineering and the impact of prompt design on grounding, reliability, usability, and output quality.
• Working knowledge of embeddings, chunking, semantic retrieval, vector search, top-k, top-p, and related controls affecting response behavior and quality.
• Basic hands-on familiarity with guardrails, safety controls, and output validation, and awareness of hallucinations, prompt injection, jailbreak attempts, and content-safety concerns.
• Experience building and shipping enterprise-grade APIs/services that connect AI capabilities to business workflows.
• Strong software engineering fundamentals, including testing, debugging, source control, and CI/CD.
• Strong collaboration and communication skills, with the ability to work effectively with product, engineering, QA, architecture, security, and business stakeholders.

Nice To Haves

• Experience with RAG/search-based AI, chatbot/copilot experiences, or enterprise knowledge assistants.

Responsibilities

• Build modern applications and backend/platform-oriented full-stack solutions, including APIs, services, and databases.
• Deploy and support solutions in AWS, including operational support.
• Build Generative AI solutions, such as RAG/search-based AI, chatbot/copilot experiences, or enterprise knowledge assistants.
• Apply prompt engineering and retrieval/generation techniques to improve grounding, reliability, usability, and output quality.
• Use guardrails, safety controls, and output validation to address risks such as hallucinations, prompt injection, jailbreak attempts, and content-safety concerns.
• Build and ship enterprise-grade APIs and services that integrate AI capabilities into business workflows.
• Apply software engineering practices including testing, debugging, source control, and CI/CD.
• Collaborate with product, engineering, QA, architecture, security, and business stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed