About the job

Senior AI Software Engineer€90,000–€100,000 Base + Benefits | Hybrid in city center

Our client is looking for a Senior AI Software Engineer to join a growing Artificial Intelligence team building and deploying production-ready AI solutions across the business.This is a highly hands-on engineering role for someone who wants to build, not just discuss, AI. You’ll work across Agentic AI, Generative AI, LLMs, Machine Learning and conversational AI, taking solutions from rapid prototype and MVP through to scalable production deployment.

• What You'll Be DoingDesign and build AI applications, agents and GenAI solutions using Python.
• Integrate LLMs and conversational AI into enterprise applications and workflows.
• Rapidly prototype and deliver PoCs and MVPs, then scale successful solutions into production.
• Build and manage Machine Learning pipelines across the full AI lifecycle.
• Deploy AI/ML solutions on AWS, including technologies such as Bedrock, SageMaker and Lambda.
• Apply Prompt Engineering, Context Engineering and AI Evaluation techniques to improve solution quality.
• Own development across the full SDLC, including testing, deployment, monitoring and continuous improvement.

• Must HavesStrong hands-on Python development experience building production-grade applications.
• Proven hands-on experience with Generative AI and LLM-based applications.
• Strong experience designing or implementing Agentic AI / AI Agent architectures.
• Experience building Conversational AI solutions.
• Strong Machine Learning development experience.
• Hands-on experience deploying AI/ML solutions on AWS, ideally using Bedrock, SageMaker and/or Lambda.
• Experience with Databricks.
• Experience with data engineering, data manipulation and ML pipelines.
• Understanding of MLOps, model deployment, monitoring and lifecycle management.
• Strong experience with APIs and integrating AI services into enterprise applications.
• Experience with unit, integration and system testing.
• Hands-on experience with Prompt Engineering, Context Engineering and AI Evaluation.
• Proven ability to take AI solutions through the full SDLC, from design and rapid prototyping to production deployment.
• Experience using AI development tools, such as Claude, ChatGPT or AI coding assistants, to accelerate engineering delivery.

• Nice to HaveFinancial Services experience.
• AWS Machine Learning or related certifications.
• DevOps experience, including CI/CD, automation and containerisation.
• Full-stack development exposure.
• Jira and Confluence experience.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related discipline.

·        Generative AI and LLM Engineering: LLM Application Development, Retrieval Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Multi Agent Systems, Model Context Protocol (MCP), Hugging Face Transformers, OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Groq

·        Vector Search and Data Engineering: ChromaDB, FAISS, Pinecone, Sentence Transformers, Semantic Search, Python, SQL, PostgreSQL, Pydantic

·        Machine Learning and Deployment: Deep Learning, TensorFlow, PyTorch, Natural Language Processing, Computer Vision, FastAPI, SQLAlchemy, Alembic, Docker, Docker Compose, MLOps, Microsoft Azure, CI/CD

·        Analytics, Tools and Methods: Tableau, Power BI (DAX), Git, GitHub, JWT Authentication, REST API Design, Agile Delivery