Senior Software (AI) Engineer - Java / Python

Cpl Group; Dublin; Hybrid; EUR 120,000 - 185,000; Full time

Job summary

Cpl Group in Ireland is seeking Senior AI Engineers to design and build AI-powered services and agentic workflows using Java and Python. You will drive architecture, ensure scalability, and deliver production-grade solutions in a hybrid Dublin work environment.

The role focuses on Generative AI, LLMs, and cloud-native data processing with Databricks and Spark, collaborating with cross-functional teams while mentoring engineers and upholding high engineering standards.

Qualifications

• 6+ years of software engineering experience in agile environments.
• Experience designing distributed systems, microservices, RESTful APIs, and cloud-native apps.
• Strong Java/Spring Boot and TypeScript/React experience.
• Experience with Python, Databricks, Spark, or PySpark for data pipelines and analytics.
• Experience building or supporting cloud-native apps on AWS/Azure with CI/CD, containers, Kubernetes, observability.

Responsibilities

• Lead team-level system design including API contracts, data flows, and nonfunctional requirements like scalability and security.
• Partner with engineers/architects to align with platform architecture and modernization goals.
• Develop and optimize data-intensive applications using Databricks, Spark, and related technologies.
• Develop and deploy AI-powered products and agentic workflows with LLMs and tool-calling patterns.
• Mentor junior engineers and contribute to code quality, reviews, and coaching.
• Drive performance improvements, observability, testing, and production readiness.

Skills

Distributed systems

Java/Spring Boot

Python

Cloud platforms (AWS/Azure)

REST APIs

Datalake/Big data

CI/CD

Mentoring

Education

Bachelor's degree in Computer Science

Tools

Databricks

Spark

Kubernetes

PySpark

SQL

Job description

Dublin - Hybrid

Long term contract

Daily Rate

Global IT services and digital engineering provider with a strong focus on AI, cloud, software product engineering, and application modernization is looking to hire a number of Senior AI Engineers working with Java and Python.

We are seeking a technically strong Senior Software Engineer to help drive the architecture, design, and development of our intelligent, agentic products/applications, AI-powered services, and platform capabilities powering the next-generation of experimentation platform. The ideal candidate is passionate about leveraging Generative AI, Large Language Models (LLMs), and cloud-native technologies to deliver production-grade solutions that drive innovation, developer productivity, and business impact. In this role, you will help define and evolve system architecture and non-functional requirements, including scalability, performance, security, and reliability, ensuring our solutions meet the highest engineering standards.

Responsibilities:

• Lead team level system design, including high level design, detailed design, API contracts, data flows, service interactions, integration patterns, and nonfunctional requirements such as scalability, reliability, performance, security, and operability.
• Partner with lead engineers and architects to align team level implementations with broader platform architecture, modernization goals, engineering standards, and long term maintainability.
• Develop and optimize data intensive applications and analytics capabilities using Databricks, Spark, and related technologies to process and deliver data at scale.
• Develop, and deploy AI-powered products, intelligent agents, and agentic workflows utilizing Large Language Models (LLMs), retrieval systems, orchestration frameworks, tool-calling patterns, and context-aware workflows.
• Implement advanced agentic systems incorporating planning, reasoning loops, memory management, grounding, evaluation frameworks, safety mechanisms, and human-in-the-loop controls.
• Identify and resolve performance bottlenecks across services, APIs, data processing workloads, and user experiences.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Mentor junior and midlevel engineers through technical guidance, pairing, code reviews, design feedback, documentation, and knowledge sharing.
• Contribute to a collaborative engineering culture by modeling ownership, clear communication, continuous learning, pragmatic decision making, and high standards for software quality.
• Improve engineering quality through code reviews, design reviews, automated testing, secure coding practices, observability, performance tuning, CI/CD practices, and production readiness.
• Troubleshoot complex issues across application, service, API, data, and cloud layers, driving root cause analysis and implementing durable solutions that improve platform reliability and supportability.

Ideal qualifications include:

• 6+ years of software engineering experience delivering scalable, high performance, and reliable software in an agile environment.
• Strong hands on experience designing and building distributed systems, microservices, RESTful APIs, and cloud native applications.
• Strong programming experience with modern engineering stacks such as Java/Spring Boot, TypeScript/React, SQL, and related frameworks and technologies.
• Experience with Python, Databricks, Spark, or PySpark is highly desirable, particularly for working with data pipelines and analytics driven applications.
• Experience building or supporting cloud native applications on AWS and/or Azure, with familiarity in CI/CD, containerization, Kubernetes, observability, automated testing, and production support practices.
• Demonstrated ability to lead team level design discussions, evaluate technical tradeoffs, and guide implementation through technical influence.
• Ability to translate product and business needs into scalable, secure, and maintainable technical solutions.
• Strong collaboration and communication skills, with the ability to work effectively across cross-functional teams.
• Strong problem solving skills with the ability to work through ambiguity, make sound technical decisions, and drive results through hands on execution.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience; an advanced degree is a plus.