Artificial Intelligence Engineer

Brightwater Recruitment; Dublin; Hybrid; EUR 129,000 - 221,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Brightwater Recruitment is partnering with a Dublin-based bank to hire a Senior AI Engineer. You will design, build and operate production-grade agentic AI systems with strong Python skills for business-critical workflows within a regulated environment.

You will lead RAG pipelines, context management, and multi-step AI workflows, integrating via REST APIs and asynchronous messaging, while ensuring reliability, scalability and observability in production. This role is hybrid in Dublin.

Qualifications

• 5+ years' experience as a software engineer with Python in production systems.
• Hands-on experience developing agentic AI or AI workflow systems such as LangGraph or equivalent.
• Strong understanding of context management in multi-step AI workflows.
• Knowledge of MCP-style tool protocols and integrating AI agents with external tools.
• Experience designing RAG architectures including embeddings, retrieval strategies, and context management.
• Familiarity with vector databases/vector stores and asynchronous messaging (pub/sub, events, queues).
• Experience with relational and NoSQL databases in enterprise environments.
• Experience deploying AI/ML systems with monitoring, observability and reliability requirements.

Responsibilities

• Design, develop and operate production-grade agentic AI systems using Python.
• Build agent workflows using LangGraph or similar orchestration framework.
• Design and implement context management across long-running AI executions.
• Develop and maintain RAG pipelines using structured, semi-structured and unstructured data.
• Integrate AI systems with enterprise platforms via REST APIs and event-driven architectures.
• Create orchestration patterns for agents, tools and workflows, including synchronous and asynchronous execution.
• Incorporate human-in-the-loop processes, error handling and recovery mechanisms.
• Contribute to architecture standards for reliable AI at scale and address failure modes.

Skills

Python

Agentic AI

Context management

MCP-style tool protocols

RAG architectures

Embeddings

Retrieval strategies

Vector stores

Asynchronous messaging

Enterprise environments

Production engineering

Systems design

Communication skills

Relational databases

NoSQL databases

Tools

LangGraph

Job description

12 Month Daily Rate Contract / Hybrid / Dublin

About the Company

Our client is a leading bank in Dublin.

About the Position

We are seeking an experienced Senior AI Engineer to join a technology team developing and operating production-grade AI and agentic systems that support business-critical workflows within a highly regulated environment. This is a hands-on engineering position with significant responsibility for system design, development, reliability, scalability and delivery. The successful candidate will have strong Python development skills alongside practical experience building agentic AI solutions and production-grade AI architectures.

Key Responsibilities

• Design, develop and operate production-grade agentic AI systems using Python.
• Build sophisticated agent workflows using frameworks such as LangGraph or equivalent stateful orchestration technologies.
• Design and implement effective context management strategies across multi-step and long-running agent executions.
• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using structured, semi-structured and unstructured data.
• Integrate AI and agentic systems with existing enterprise platforms through REST APIs and event-driven architectures.
• Design orchestration patterns for agents, tools and workflows, including:
• Synchronous and asynchronous execution
• Human-in-the-loop processes
• Error handling and recovery
• Contribute to the architecture and engineering standards required to operate AI systems reliably at scale.
• Identify and address system failure modes, performance issues and scalability challenges.

Candidate Profile

• 5+ years' experience as a software engineer, with strong commercial experience using Python.
• Hands-on experience developing agentic AI or AI workflow systems, using LangGraph or a comparable agent/workflow orchestration framework.
• Strong understanding of context management within multi-step and stateful AI workflows.
• Knowledge of MCP-style tool protocols and approaches to integrating AI agents with external tools and services.
• Practical experience designing and implementing RAG architectures, including:
• Embeddings
• Retrieval strategies
• Context retrieval and management
• Strong understanding of workflow orchestration concepts including state management, retries, idempotency and fault tolerance.
• Excellent systems design and architecture skills, with the ability to assess scalability, reliability and potential failure modes.
• Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
• Experience working with relational and NoSQL databases.
• Experience with vector databases/vector stores.
• Experience integrating systems using asynchronous messaging, including pub/sub architectures, events and queues.
• Experience building AI solutions within enterprise or highly regulated environments.
• Understanding of production engineering practices for AI/ML systems, including monitoring, observability and reliability.

Ideal Candidate

The ideal candidate will combine very strong software engineering fundamentals with practical AI engineering experience. You will be comfortable moving beyond experimentation and prototypes to build robust, scalable and maintainable agentic systems suitable for production use. You should be a hands-on engineer who enjoys solving complex systems problems and can balance innovation with the reliability, governance and engineering standards required in a business-critical environment.

Remuneration Package

This role offers a very strong daily rate, is hybrid, and offers the opportunity to work in a dynamic and collaborative environment.