Full Stack AI Software Engineer
12-month contractor role in Dublin 2 building production GenAI applications with AWS Bedrock, Python/FastAPI and React, while also delivering technical training, enablement sessions and maintaining existing apps. Pays €450 per day.
- Compensation
- €450 / day
- Location
- Dublin, Ireland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- AWS Bedrock (foundation models, multi-agent workflows, knowledge bases, evaluations, guardrails)
- MCP (Model Context Protocol) server integration
- 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
- 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 services: Lambda, API Gateway, Step Functions, EventBridge, Bedrock, S3, DynamoDB, CloudWatch, SQS
- AWS Cognito, IAM, OAuth 2.0 and JWT token management
- Infrastructure as Code (CDK)
- CI/CD pipelines
- Deliver technical training and product enablement sessions to dev teams and stakeholders
- Develop and maintain training materials, workshops, and reference documentation
- Provide coaching and facilitate knowledge transfer
- Support, maintain, and troubleshoot existing production applications
- 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)
Full description
Full-Stack AI Engineer (Contractor)
Location: Dublin 2
Rate: €450 Per day
Type: Contract
Term: 12 Months
We are seeking an experienced Full-Stack AI Engineer to join our 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, running enablement sessions, and maintaining existing applications.
We are looking for people with the following skills:
GenAI & Agentic Systems :
- 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
- Training, Enablement & Maintenance
- Deliver technical training and product enablement sessions to development teams and business stakeholders
- Develop and maintain training materials, workshops, and reference documentation
- Provide coaching and facilitate knowledge transfer to build sustainable internal capability
- Support, maintain, and troubleshoot existing production applications
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)