Shape the future of AI-driven solutions in a fast-growing organization where technology is central to delivering customer value. As a Senior AI Developer, you'll play a key role in building intelligent systems that power next-generation services across global markets.
What You'll Do
- Design and develop agent-based AI systems, multi-step reasoning workflows, and automation pipelines orchestrated by large language models
- Build and maintain scalable AI services using LLM orchestration frameworks, inference APIs, and retrieval-augmented generation (RAG) architectures
- Implement retrieval systems, tool-calling logic, memory management, and full-cycle RAG pipelines
- Apply LLMOps and MLOps practices such as prompt version control, evaluation frameworks, monitoring, telemetry, and cost efficiency analysis
- Use Databricks and MLflow for experimentation, observability, and model tracking
- Develop AI-integrated applications using React, Next.js, Python (FastAPI), or .NET Core, connecting with enterprise platforms
- Ensure robust cloud deployments through CI/CD automation, Docker, and Azure, maintaining high operational standards
What You Bring
- Proven experience developing agentic AI systems or LLM-powered workflows using modern tooling
- Strong grasp of RAG patterns, embeddings, vector search, memory mechanisms, and tool interfaces
- Familiarity with Databricks, MLflow, or equivalent platforms for AI experimentation and observability
- Proficiency in React, Next.js, TypeScript, and backend development with Python (FastAPI) or .NET Core
- Hands-on experience with Azure, CI/CD pipelines, Docker, and relational databases like PostgreSQL or SQL Server
Technology Environment
Work in a cloud-first, code-first environment leveraging React, Next.js, TypeScript, Python, FastAPI, .NET Core, Databricks, MLflow, Azure, Docker, PostgreSQL, SQL Server, LLM orchestration tools, inference APIs, RAG architectures, and DevSecOps practices.
Work Environment
This role supports remote collaboration across multiple global locations including the UK, Chennai, Hong Kong, Brno, Singapore, Zurich, Luxembourg, and Australia. The team follows a DevSecOps model with a strong emphasis on cloud-native delivery and secure, automated deployment pipelines.
