GenAI Engineer: AWS Bedrock exp

GenAI Engineer: AWS Bedrock exp

Posted Today by 1761719291

Negotiable
Outside
Remote
USA

Summary: The GenAI Engineer role is a fully remote, full-time contract position focused on delivering customer-facing AI solutions. The engineer will work on client projects to build production-ready GenAI applications using Amazon Bedrock and advanced frameworks. This position requires expertise in Python and experience with LLM architectures and AWS AI services. The contract duration is between 3 to 6 months.

Key Responsibilities:

  • Design and implement GenAI solutions using Amazon Bedrock, including prompt engineering, model selection, and optimization
  • Build and deploy LLM-powered applications with vector databases (Weaviate) for semantic search and retrieval
  • Develop agentic workflows and multi-agent systems using Agent Core
  • Write production-quality Python code for data processing, API integration, and application development
  • Collaborate with cross-functional teams to translate business requirements into technical solutions

Key Skills:

  • Expert-level proficiency in Python and software engineering best practices
  • Experience with ETL processes, API development, and data pipeline architectures
  • Deep understanding of LLM architectures, RAG patterns, and prompt engineering
  • Proven experience with Amazon Bedrock and AWS AI services
  • Strong knowledge of vector databases, particularly Weaviate
  • Experience building agentic systems and multi-agent orchestration
  • Ability to work independently in a fast-paced environment

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

GenAI Engineer

This is a fully-remote/full-time/3-6 month contract position.

Hourly range based on experience: $70-$75/HR

We're seeking an experienced GenAI Engineer for a contract engagement to deliver customer-facing AI solutions. You'll work directly on client projects, building production-ready GenAI applications using Amazon Bedrock and advanced agentic frameworks to solve real business challenges.

Key Responsibilities:

  • Design and implement GenAI solutions using Amazon Bedrock, including prompt engineering, model selection, and optimization
  • Build and deploy LLM-powered applications with vector databases (Weaviate) for semantic search and retrieval
  • Develop agentic workflows and multi-agent systems using Agent Core
  • Write production-quality Python code for data processing, API integration, and application development
  • Collaborate with cross-functional teams to translate business requirements into technical solutions

Required Qualifications:

  • Expert-level proficiency in Python and software engineering best practices
  • Experience with ETL processes, API development, and data pipeline architectures
  • Deep understanding of LLM architectures, RAG patterns, and prompt engineering
  • Proven experience with Amazon Bedrock and AWS AI services
  • Strong knowledge of vector databases, particularly Weaviate
  • Experience building agentic systems and multi-agent orchestration
  • Ability to work independently in a fast-paced environment