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

○ Flexible approach (not strict on days)

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

Employee Value Proposition

Amazon.

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. (phone number removed). 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 (url removed)>

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