Role Overview:
Our client is seeking an experienced Full-Stack AI Engineer to join their team on a contract basis. This is a hybrid delivery role that combines hands-on development of GenAI-powered applications with a significant focus on training delivery and product enablement. You will design and build production-grade AI solutions while also upskilling teams and maintaining existing applications.
The ideal candidate is technically proficient a confident communicator and passionate
about helping others adopt new technologies.
Required Skills:
GenAI & Agentic Systems (Primary Focus):
- AWS Bedrock (foundation models multi-agent workflows knowledge bases model evaluations and guardrails)
- MCP (Model Context Protocol) server integration
- Experience working with RAG pipelines embedding models vector stores chunking and parsing strategy
- Fine-tune models for optimal performance and efficiency
- Experience using LLMs for complex document processing projects
Full-Stack Development (Essential):
- Python - FastAPI async programming authentication multi-threading
- React - streaming UIs real-time chat interfaces or enterprise applications
- REST APIs WebSockets server-sent events
- SQL and NoSQL (DynamoDB PostgreSQL)
- Version Control and Testing
AWS Infrastructure:
- Experience with AWS Services: Lambda API Gateway Step Functions Event Bridge Bedrock S3 DynamoDB
- CloudWatch SQS.
- AWS Cognito IAM OAuth 2.0 and JWT token management
- Infrastructure as Code (CDK)
- CI/CD pipelines
Requirements
Experience Required:
- 5 years software engineering
- 2 years production AI/ML related development
- Proven track record with AWS stack
- Self-directed and independent worker
- Strong communication skills (technical and non-technical audiences)
- Documentation skills (code architecture technical specs
Required Skills:
Experience Required: 5 years software engineering 2 years production AI/ML related development Proven track record with AWS stack Self-directed and independent worker Strong communication skills (technical and non-technical audiences) Documentation skills (code architecture technical specs
Role Overview:Our client is seeking an experienced Full-Stack AI Engineer to join their team on a contract basis. This is a hybrid delivery role that combines hands-on development of GenAI-powered applications with a significant focus on training delivery and product enablement. You will design and ...
Role Overview:
Our client is seeking an experienced Full-Stack AI Engineer to join their team on a contract basis. This is a hybrid delivery role that combines hands-on development of GenAI-powered applications with a significant focus on training delivery and product enablement. You will design and build production-grade AI solutions while also upskilling teams and maintaining existing applications.
The ideal candidate is technically proficient a confident communicator and passionate
about helping others adopt new technologies.
Required Skills:
GenAI & Agentic Systems (Primary Focus):
- AWS Bedrock (foundation models multi-agent workflows knowledge bases model evaluations and guardrails)
- MCP (Model Context Protocol) server integration
- Experience working with RAG pipelines embedding models vector stores chunking and parsing strategy
- Fine-tune models for optimal performance and efficiency
- Experience using LLMs for complex document processing projects
Full-Stack Development (Essential):
- Python - FastAPI async programming authentication multi-threading
- React - streaming UIs real-time chat interfaces or enterprise applications
- REST APIs WebSockets server-sent events
- SQL and NoSQL (DynamoDB PostgreSQL)
- Version Control and Testing
AWS Infrastructure:
- Experience with AWS Services: Lambda API Gateway Step Functions Event Bridge Bedrock S3 DynamoDB
- CloudWatch SQS.
- AWS Cognito IAM OAuth 2.0 and JWT token management
- Infrastructure as Code (CDK)
- CI/CD pipelines
Requirements
Experience Required:
- 5 years software engineering
- 2 years production AI/ML related development
- Proven track record with AWS stack
- Self-directed and independent worker
- Strong communication skills (technical and non-technical audiences)
- Documentation skills (code architecture technical specs
Required Skills:
Experience Required: 5 years software engineering 2 years production AI/ML related development Proven track record with AWS stack Self-directed and independent worker Strong communication skills (technical and non-technical audiences) Documentation skills (code architecture technical specs
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