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Senior Full Stack AI Engineer
Cynet Systems
1 hour ago
Full-time
On-site
Des Moines, Iowa, United States
Pay Range: $52.00hr - $57.00hr
Job Overview:
The candidate will serve as a Full Stack AI Engineer with 6 to 8 years of software engineering experience, focusing on modern application development, backend/platform-oriented full-stack solutions, AWS cloud deployment, and Generative AI integration.
Requirements: 6-8 years of software engineering experience with strong hands-on development experience in modern application engineering. Strong experience with Node.js and TypeScript as a primary language requirement for the role. Strong experience building backend/platform-oriented full-stack solutions, including APIs, services, databases, cloud deployment, and operational support. Strong AWS experience with hands-on experience in services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, CDK, and Fargate. Experience with infrastructure as code (IaC), with strong hands-on use of AWS CDK. At least 1 year of hands-on experience building Generative AI solutions, ideally in RAG/search-based AI, chatbot/copilot experiences, or enterprise knowledge assistants. Practical understanding of prompt engineering and how prompt design impacts grounding, reliability, usability, and output quality. Working knowledge of retrieval and generation concepts such as embeddings, chunking, semantic retrieval, vector search, top-k, top-p, and related controls that influence response behavior and quality. Basic hands-on familiarity with guardrails, safety controls, and output validation, including awareness of risks like hallucinations, prompt injection, jailbreak attempts, and content-safety concerns. Experience building and shipping enterprise-grade APIs/services that connect AI capabilities into real 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.
Job Overview:
The candidate will serve as a Full Stack AI Engineer with 6 to 8 years of software engineering experience, focusing on modern application development, backend/platform-oriented full-stack solutions, AWS cloud deployment, and Generative AI integration.
Requirements: 6-8 years of software engineering experience with strong hands-on development experience in modern application engineering. Strong experience with Node.js and TypeScript as a primary language requirement for the role. Strong experience building backend/platform-oriented full-stack solutions, including APIs, services, databases, cloud deployment, and operational support. Strong AWS experience with hands-on experience in services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, CDK, and Fargate. Experience with infrastructure as code (IaC), with strong hands-on use of AWS CDK. At least 1 year of hands-on experience building Generative AI solutions, ideally in RAG/search-based AI, chatbot/copilot experiences, or enterprise knowledge assistants. Practical understanding of prompt engineering and how prompt design impacts grounding, reliability, usability, and output quality. Working knowledge of retrieval and generation concepts such as embeddings, chunking, semantic retrieval, vector search, top-k, top-p, and related controls that influence response behavior and quality. Basic hands-on familiarity with guardrails, safety controls, and output validation, including awareness of risks like hallucinations, prompt injection, jailbreak attempts, and content-safety concerns. Experience building and shipping enterprise-grade APIs/services that connect AI capabilities into real 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.