Cygnus Professionals Inc.

GenAI Engineer (AWS) - W2 ONLY, Onsite Role

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer (AWS), W2 only, onsite, with a contract length of "unknown" and a pay rate of "unknown." Candidates must have 6+ years of software engineering experience, 3+ years in AI/ML, and strong AWS skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
424
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πŸ—“οΈ - Date
January 13, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Denver, CO
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🧠 - Skills detailed
#AI (Artificial Intelligence) #API (Application Programming Interface) #Terraform #Automation #Databases #ML (Machine Learning) #Python #OpenSearch #S3 (Amazon Simple Storage Service) #DynamoDB #IAM (Identity and Access Management) #AWS (Amazon Web Services) #JavaScript #Infrastructure as Code (IaC) #Cloud #Lambda (AWS Lambda) #AWS Lambda
Role description
Job Description We are seeking a hands-on GenAI Engineer with strong experience in Generative AI use cases, AWS cloud services, and the ability to participate in and lead technical interviews. The ideal candidate will have real-world experience designing, building, and deploying enterprise-grade GenAI solutions, preferably in telecom or large-scale consumer environments. This role supports Charter Communications’ initiatives in AI-driven customer experience, automation, intelligent assistants, and advanced analytics. Required Skills & Qualifications β€’ 6+ years of overall software engineering experience β€’ 3+ years of hands-on experience with AI/ML or Generative AI solutions β€’ Strong experience working with Large Language Models (LLMs) such as OpenAI, Anthropic, or Amazon Bedrock β€’ Proven experience implementing real-world GenAI use cases (chatbots, summarization, knowledge assistants, automation) β€’ Strong AWS experience, including: β€’ Amazon Bedrock β€’ AWS Lambda β€’ API Gateway β€’ S3, DynamoDB, OpenSearch β€’ IAM and CloudWatch β€’ Solid experience with Python (mandatory); JavaScript/Node.js is a plus β€’ Experience building RAG (Retrieval-Augmented Generation) architectures β€’ Hands-on experience with vector databases (OpenSearch, Pinecone, FAISS, etc.) β€’ Strong understanding of prompt engineering, prompt optimization, and guardrails β€’ Experience integrating GenAI solutions with applications using RESTful APIs β€’ Ability to conduct or support technical interviews, especially for GenAI and AWS-focused roles β€’ Strong communication and stakeholder collaboration skills Nice to Have β€’ Experience in telecom, media, or large-scale consumer platforms β€’ Exposure to Contact Center AI or conversational AI solutions β€’ Experience with LLMOps / MLOps β€’ Familiarity with CI/CD pipelines and infrastructure as code (CloudFormation or Terraform) β€’ Prior experience mentoring engineers or participating in interview panels