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
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