Senior AI Engineer (Agentic Systems)

Stelfox; Ireland; Hybrid; EUR 166,000 - 203,000; Full time

Job summary

Stelfox in Ireland is seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI systems. The role focuses on generative AI, LLM-driven workflows, and robust integration with enterprise platforms.

You will work on production-grade Python applications, retrieval augmented generation, and agent-based orchestrations, collaborating with architects and engineering teams. Hybrid work with 3 days on-site, daily-rate contract, offering challenging problems and opportunities to

Qualifications

• 5+ years of software engineering with strong Python.
• Experience building Generative AI or LLM-powered apps.
• Strong knowledge of RAG, embeddings and vector search.
• Experience with LangGraph, LangChain, CrewAI or AutoGen.
• Knowledge of distributed systems and REST APIs.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications using Python.
• Build and optimise Retrieval Augmented Generation (RAG) solutions across data sources.
• Develop agent-based workflows using LangGraph, LangChain, or similar frameworks.
• Implement robust context management and orchestration for complex AI workflows.
• Integrate AI services with enterprise platforms via APIs and event-driven architectures.
• Improve system reliability, scalability, observability, and performance.
• Collaborate with architects, engineers, and stakeholders to deliver high-quality AI solutions.
• Contribute to evolution of AI engineering standards and design patterns.

Skills

Python development

Generative AI

LLM-powered applications

RAG architectures

embeddings

vector search

LangGraph

LangChain

distributed systems

REST APIs

problem solving

communication skills

Tools

LangGraph

LangChain

CrewAI

AutoGen

APIs

Job description

Senior AI Engineer - Daily Rate Contract - Hybrid-Working Model (3 Days' On-site) - Roles x2 We are seeking an experienced Senior AI Engineer (with strong Python skills) to help design, build, and scale enterprise-grade AI solutions that deliver real business impact. As a Senior AI Engineer, you will play a key role in developing intelligent systems powered by large language models, retrieval architectures, and agentic workflows. You will be responsible for designing reliable, secure, and scalable solutions that integrate seamlessly with enterprise platforms.

Key Responsibilities

• Design, develop, and deploy production-grade Generative AI applications using Python
• Build and optimise Retrieval Augmented Generation (RAG) solutions across structured and unstructured data sources
• Develop agent-based workflows using frameworks such as LangGraph, LangChain, or similar technologies
• Implement robust context management and orchestration strategies for complex AI workflows
• Integrate AI services with enterprise platforms through APIs and event-driven architectures
• Improve system reliability, scalability, observability, and performance
• Collaborate with architects, engineers, and stakeholders to deliver high-quality AI solutions
• Contribute to the evolution of AI engineering standards, best practices, and design patterns

Required Experience

• 5+ years' software engineering experience with strong Python development skills
• Commercial experience building Generative AI or LLM-powered applications
• Strong understanding of RAG architectures, embeddings, vector search, and retrieval strategies
• Experience working with agentic frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies
• Knowledge of distributed systems, workflow orchestration, and resilient application design
• Experience building and consuming REST APIs
• Strong problem-solving and communication skills

Nice to Have

• Experience with vector databases and knowledge graphs
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud
• Knowledge of NoSQL and relational database technologies
• Exposure to event-driven architectures, messaging platforms, and asynchronous processing