Software Engineer

Elwood Roberts - Your Trusted Recruitment Partner; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Elwood Roberts - Your Trusted Recruitment Partner is seeking an experienced Full-Stack AI Engineer for a contract-based, hybrid delivery role. You will design and build production-grade GenAI-powered applications while also delivering training sessions and enabling product teams.

The ideal candidate has 5+ years in software engineering, 2+ years in production AI/ML, and a proven AWS stack track record including Bedrock, Lambda, and DynamoDB.

Qualifications

• 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).

Responsibilities

• Design and build production-grade GenAI solutions.
• Deliver technical training and product enablement sessions.
• Upskill teams and enable product delivery.
• Maintain existing applications and provide support.

Skills

GenAI

Agentic Systems

AWS Bedrock

RAG pipelines

Fine-tuning

LLMs

React UI

SQL

NoSQL

DynamoDB

PostgreSQL

Version Control

Testing

AWS Lambda

API Gateway

Step Functions

S3

Cognito

IAM

OAuth 2.0

JWT

CDK

Training

Enablement

Documentation

Tools

Git

Job description

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)
• 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.
• React - streaming UIs, real-time chat interfaces or enterprise applications
• 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)
• 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)