Full Stack AI Engineer

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Full-Stack AI Engineer (12-Month Contract) – Dublin

Hybrid Role (1 day/week in office)

Global Tech Company

We are seeking an experienced Full-Stack AI Engineer to join our client on a 12-month contract. This is a hybrid delivery role combining hands-on development of GenAI-powered applications with a strong emphasis on training, enablement, and upskilling teams. You will build production-grade AI solutions, support existing applications, and help drive adoption of new technologies across the organisation.

The ideal person is technically strong, a confident communicator, and passionate about enabling others to work effectively with modern AI systems.

Key Responsibilities

  • Design and develop production-grade GenAI applications
  • Build and maintain AI-powered systems and existing applications
  • Deliver technical training and enablement sessions for engineering teams
  • Support adoption of AI tools and best practices across the organisation
  • Collaborate with stakeholders to translate requirements into scalable solutions

Required Skills

GenAI & Agentic Systems (Primary Focus)

  • AWS Bedrock (foundation models, multi-agent workflows, knowledge bases, evaluations, guardrails)
  • MCP (Model Context Protocol) server integration
  • RAG pipelines: embedding models, vector databases, chunking and parsing strategies
  • Experience fine-tuning models for performance and efficiency
  • LLM-based document processing at scale

Full-Stack Development

  • Python (FastAPI, async programming, authentication, concurrency/multi-threading)
  • React (streaming UIs, real-time chat interfaces, enterprise applications)
  • REST APIs, WebSockets, Server-Sent Events
  • SQL and NoSQL databases (PostgreSQL, DynamoDB)
  • Version control (Git) and automated testing

AWS Infrastructure

  • AWS services: Lambda, API Gateway, Step Functions, EventBridge, Bedrock, S3, DynamoDB, CloudWatch, SQS
  • Authentication & security: AWS Cognito, IAM, OAuth 2.0, JWT
  • Infrastructure as Code (AWS CDK)
  • CI/CD pipeline implementation and maintenance

Experience Required

  • 5+ years software engineering experience
  • 2+ years experience in production AI/ML or GenAI development
  • Strong track record working with AWS cloud environments
  • Comfortable working independently and taking ownership of delivery
  • Strong communication skills across technical and non-technical audiences
  • Excellent documentation skills (code, architecture, technical specifications)

If suitable, please apply in the link below or contact rachel.mcguckian@Barden.ie for more details!

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