Job Description:

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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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 at (url removed)/en-gb/privacy-notices 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. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.