Full Stack AI Software Engineer

Elwood Roberts; Leinster; On-site; EUR 104,000 - 120,000; Full time

Job summary

Elwood Roberts in Dublin 2 is seeking a Full-Stack AI Engineer (Contractor) to design and deliver GenAI-powered applications in a hybrid setting, while also training teams and enabling product adoption. The contractor role is 12 months with a daily rate of €450.

You will work across AWS Bedrock, MCP server integrations, RAG pipelines, and full-stack Python/React development, with emphasis on training materials, workshops, and knowledge transfer to build sustainable internal capability.

Qualifications

• 5+ years software engineering
• 2+ years production AI/ML development
• Proven track record with AWS stack
• Self-directed and independent worker
• Strong communication skills
• Documentation skills

Responsibilities

• Develop GenAI-powered applications.
• Provide training sessions and enablement materials.
• Maintain and troubleshoot production applications.
• Design and build production-grade AI solutions.
• Coach and transfer knowledge to internal teams.

Skills

Software engineering

AI/ML development

Strong communication

Documentation

Self-directed

Team collaboration

Problem solving

Tools

Python

FastAPI

React

REST APIs

WebSockets

SQL

NoSQL

DynamoDB

PostgreSQL

AWS

CDK

CI/CD

Job 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.

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)