Senior AI Engineer

Who We Are

Fulcrum Digital is a global AI-first enterprise transformation company with over 25 years of experience. We partner with enterprises across financial services insurance healthcare retail manufacturing higher education and logistics to move from AI experimentation to scalable business outcomes. Fulcrum Digital works with over 100 global clients including Fortune 500 enterprises combining deep industry expertise with capabilities in enterprise AI digital engineering cloud modernisation platform integration and generative AI.

The Role

This is your chance to build the AI that powers how the world pays. Were looking for a technically strong Senior AI Engineer to join Fulcrum Digitals engineering team on one of our top client engagements a global leader in payments technology embedding LLM-driven and agentic capabilities into the platforms business users everywhere rely on to make faster smarter data-driven decisions. Youll be at the center of applied AI innovation in financial services designing and shipping production-grade AI systems from retrieval-augmented generation to autonomous agentic workflows that scale to serve some of the worlds biggest markets. Based in Dublin Ireland with a hybrid working arrangement.

Youll help shape architecture for AI-powered services spanning LLM orchestration RAG pipelines and agentic workflows alongside core non-functional requirements like scalability performance security and reliability. Youll work closely with cross-functional teams to solve complex technical challenges lead team-level design and ship intelligent data-driven capabilities using Java Databricks LLM frameworks and modern data technologies. Its a small agile high-trust team where every engineer owns outcomes end-to-end from ideation through production.

Why This Role

• Build production AI systems LLMs RAG agentic workflows inside mission-critical payments infrastructure
  
• Shape how applied AI gets deployed responsibly at enterprise scale
  
• High-autonomy team where your technical decisions carry real weight
  
• Grow with Fulcrum Digitals expanding footprint across Banking Financial Services and Insurance (BFSI) and its broader enterprise AI practice
  

What Youll Do

• Lead team-level design for AI-powered services including LLM and agent architecture RAG pipelines tool-calling integrations data flows and nonfunctional requirements such as scalability reliability performance security and operability
  
• Design build and productionise AI-powered features including LLM integrations RAG/retrieval systems and agentic workflows using frameworks such as LangChain and LlamaIndex
  
• Implement agentic workflow patterns including planning/reasoning loops memory management grounding evaluation frameworks safety mechanisms and human-in-the-loop design
  
• Develop and optimise data-intensive applications and analytics capabilities using Databricks Spark/PySpark and related technologies to process and deliver data at scale
  
• Serve as a hands-on technical contributor designing coding testing debugging and delivering production-quality software across the full engineering lifecycle
  
• Identify and resolve performance bottlenecks across services APIs data pipelines and AI/LLM workloads
  
• Collaborate with cross-functional teams to translate business requirements into scalable AI-driven technical solutions
  
• Mentor junior and mid-level engineers through technical guidance pairing code reviews documentation and knowledge sharing
  
• Improve engineering quality through code reviews design reviews automated testing secure coding practices observability evaluation of AI systems and production readiness
  
• Troubleshoot complex issues across application service API data cloud and AI/LLM layers driving root cause analysis and implementing durable solutions
  

Requirements

Must-Have

• Java Spring Boot RESTful APIs Databricks Spark/PySpark for data pipelines
  
• Hands-on experience building AI-powered products using LLMs RAG/retrieval systems orchestration frameworks (e.g. LangChain LlamaIndex) and tool-calling/function-calling patterns
  
• Strong grasp of agentic workflow concepts including planning/reasoning loops memory management grounding evaluation frameworks safety mechanisms and human-in-the-loop design
  
• 6 years of software engineering experience building scalable distributed systems and cloud-native applications in an agile environment
  
• Proven ability to lead team-level design evaluate technical trade-offs and translate business needs into secure maintainable solutions
  
• Strong collaboration communication and problem-solving skills comfortable working through ambiguity
  
• Bachelors degree in Computer Science Software Engineering or a related field or equivalent practical experience
  

Nice-to-Have

• Exposure to TypeScript/React and SQL
  
• Experience with cloud platforms (AWS/Azure) containerisation (Docker) and Kubernetes
  
• Experience with strategic technology partnerships or ecosystem work