

Cygnus Professionals Inc.
GenAI Engineer (AWS) - W2 ONLY, Onsite Role
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
424
-
ποΈ - Date
January 13, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Denver, CO
-
π§ - 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 Communicationsβ 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
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 Communicationsβ 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





