Full Stack AI Engineer

Description

Role Overview

We are seeking an experienced Full-Stack AI Engineer to join the team on a contract basis. This is a hybrid delivery role combining hands-on development of GenAI-powered applications with a strong focus on training delivery and product enablement.

The role involves building production-grade AI solutions while also upskilling teams, supporting adoption, and maintaining existing applications. The ideal candidate is technically strong, a confident communicator, and passionate about helping others adopt new technologies.

Core Skills & Technologies

Full-stack development

Generative AI (GenAI)

Agentic systems

AWS infrastructure (Lambda, Step Functions)

Python, React, REST APIs

SQL/NoSQL

GenAI & Agentic Systems (Primary Focus)

AWS Bedrock:

? Foundation models

? Multi-agent workflows

? Knowledge bases

? Model evaluation and guardrails

MCP (Model Context Protocol) server integration

RAG pipelines:

? Embeddings, vector databases

? Chunking and parsing strategies

Fine-tuning models for performance and efficiency

Experience using LLMs for complex document processing

Full-Stack Development (Essential)

Python:

? FastAPI, async programming

? Authentication, multi-threading

React:

? Streaming UIs

? Real Time chat interfaces

? Enterprise applications

REST APIs, WebSockets, server-sent events

SQL & NoSQL:

? DynamoDB, PostgreSQL

Version control and testing

AWS Infrastructure

Services:

? Lambda, API Gateway, Step Functions

? EventBridge, Bedrock, S3

? DynamoDB, CloudWatch, SQS

Security:

? Cognito, IAM, OAuth 2.0, JWT

Infrastructure as Code (CDK)

CI/CD pipelines

Key Focus of the Role

Build and deliver AI-based products and tools

Implement AI solutions across the organisation

Work closely with data centre operations and infrastructure

Enable and train teams on AI tools and systems

Drive adoption of new technologies across teams

Technical Expectations

Strong understanding of AWS infrastructure and trade-offs

Experience designing scalable, production-grade systems

Ability to operate in complex, data-driven environments

Capability to identify and implement optimal solutions

Focus on efficiency, cost reduction, and optimisation

Team & Collaboration

Core team: ~10 people

Partnering teams: ~10 people

Work primarily with internal stakeholders

Limited direct customer interaction

Strong communication skills required

Highly collaborative environment

Work Environment

Fast-paced team within the Global Processing Organisation

Hybrid working:

~1-2 days per week in office

Candidate Profile

5+ years software engineering Experience

2+ years in production AI/ML development

Strong AWS Experience

Background in development (ideal for those transitioning toward broader ownership roles)

Passionate about AI and emerging technologies

Strong communication (technical & non-technical)

Self-directed, proactive, and collaborative

Skills

• full stack development
• SQL
• agentic systems
• python
• react
• GenAI
• machine learning
• algorithm
• rest API

Job Title: Full Stack AI Engineer

Location: Dublin, Ireland

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.