Hybrid Role (1 day/week in office)
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)
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
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)
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