AI Engineer

We are seeking a highly skilled and forward-thinkingAI Engineer to join our AI research team for ERP. This role plays a pivotal part in shaping the future of enterprise software by designing developing and deploying AI systems intelligent agents and orchestration frameworks while also focusing on streamlining the deployment monitoring and continuous improvement of AI solutions (e.g. MLOps LLMOps). 

You will operate at the frontier of the AI landscape where your work will directly influence how enterprise software evolves into an AI-native platform. By enabling intelligent agents to reason act and collaboratedriving automation adaptability and next-generation business intelligence. 

Your primary responsibility will be AI research that supports intelligent automation and orchestration within enterprise systems. Additionally your expertise will play a vital role in advancing current and future AI engineering initiatives across multiple teams and projects at Unit4. 

Qualifications :

Key Responsibilities:

Generative AI Foundations

• Design and implement GenAI solutions using LLMs and RAG capabilities such as Search and Retrieval or GraphRAG.
• Define and enforce best practices for prompt templates advanced prompting engineering and context-aware prompting.
• Contribute to the evolution of the Unit4 AI Foundation platform. 
• Collaborate on the design and implementation of LLM evaluation frameworks benchmarks and performance metrics. 

Agentic Architecture & Orchestration

• Build modular task-specific agents using frameworks like Semantic Kernel or similar. 
• Define best practices for agent tooling on the Unit4 ecosystem using existing standards such as Model Context Protocol (MCP) 
• Implement agent orchestration protocols (e.g. A2A) for multi-agent collaboration. 
• Develop adaptive planning engines aligned with user workflows and business processes. 
• Collaborate on the design and implementation of agent evaluation frameworks benchmarks and performance metrics. 

Infrastructure & Deployment

• Design cloud-native scalable infrastructure for agent workloads (Azure AWS GCP). 
• Build robust pipelines for AI deployment and lifecycle managementcombining MLOps and LLMOps practices with CI/CD and Infrastructure as Code (e.g. Terraform Bicep). 
• Ensure observability monitoring and feedback loops for agent performance and reliability. 

Data Integration & Event-Driven Systems

• Collaborate with data engineers and architects to integrate structured and unstructured data sources. 
• Leverage event-driven architectures (e.g. Kafka Flink) for real-time agent actions. 
• Define data contracts and schemas to support agentic decision-making. 

Collaboration & Leadership

• Work closely with architects data scientists data engineers and product leads to align AI foundational architecture with business goals.
• Participate in design and architectural reviews roadmap planning and research cross-functional discussions.
• Mentor junior engineers and contribute to knowledge sharing across teams.

Requirements:

Technical Skills

• GenAI Foundations: Proficiency in leveraging Language Models (e.g. LLMs SLMs) Retrieval-Augmented Generation (RAG) and prompt engineering.
• Infrastructure & Deployment: Experience with design and implementation of MLOps pipelines at scale. Familiarity with cloud platforms (Azure AWS GCP) and DevOps practices.
• Agentic Architecture & Orchestration: Experience in agent development frameworks such as Semantic Kernel including AI integration patterns and standards such as MCP or A2A.
• Data Integration & Event-Driven Systems: Familiarity with event-driven systems like Kafka Flink and Spark Streaming.
• Programming: Strong programming skills in and SQL/NoSQL databases.

Soft Skills

• Collaboration & Communication: Work effectively across architecture AI product and engineering teams.
• Agile Mindset: Comfortable with iterative delivery version control and DevOps practices.
• Governance Awareness: Understanding of data privacy security and compliance (e.g. GDPR).

Attitude & Aptitude

• Strong system thinking and ability to model complex workflows.
• Research-oriented mindset with adaptability to emerging technologies.
• Curiosity and continuous learning in AI GenAI and agentic systems.
• Ethical awareness in AI deployment and data governance.
• Proactive and self-driven with a passion for innovation.

Preferred Experience

• 3 years in software engineering with a strong foundation in modern engineering practices.
• Experience in enterprise software ERP systems and process automation.
• Hands-on experience with GenAI concepts such as Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) or agent orchestration (A2A).
• Experience in AI/ML lifecycle management (AI operationalization) and governance.
• Understanding of data readiness and quality requirements for AI and Agentic systems.

Additional Information :

Join Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. Were a fast-paced high-growth people-centric company delivering enterprise software for a great people experience and offering our own people a host of benefits and development opportunities. Grow with us At Unit4 we offer:

a culture built on trust - giving you the freedom and autonomy to be successful;
balance - with our uncapped time off policy remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being;
talented colleagues role models and mentors - work learn and be inspired by some of the best talent in the software industry;
a commitment to sustainability - with initiatives such as our Act4Good program a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet;
a safe and inclusive working environment supported by our Employee Resource Groups which are open to all and include Women at Unit4 Pride at Unit4 Mental Health and Access at Unit4 and People of Color at Unit4.

Remote Work :

Yes

Employment Type :

Full-time