AI Developer / AI Architect

We are seeking AI Developers / AI Architects (FULL TIME) and building a team exclusively to support our global client on a fully remote contract basis. Contract Length: 6 Months (Renewable)Contract Type: Full Time – ContractorLocation: RemoteThe role focuses on designing, deploying and maintaining large-language-model (LLM) driven solutions with strong Python, cloud infrastructure (AWS preferred), and production-scale best practices. You’ll work across prompt engineering, RAG (retrieval-augmented generation), LLM fine-tuning, API/microservices integration, and end-to-end delivery of AI/GenAI features in live applications.KEY RESPONSIBILITIESDesign, develop and integrate LLM-based applications and services using Python.Lead or participate in prompt engineering, fine-tuning, evaluation and deployment of LLMs (OpenAI, Hugging Face, custom models).Build scalable backend services (APIs/microservices) to support GenAI and LLM workflows, ensuring robustness, performance and scalability.Deploy and maintain cloud infrastructure (preferably AWS) supporting AI/ML workloads, containers/servers, model-deployment pipelines.Work with data scientists, engineers and product teams to translate business use-cases into technical AI/LLM solutions.Implement monitoring, logging, metrics, and SLOs around AI/LLM systems (latency, accuracy, drift, etc).Stay current with AI/ML/LLM research, frameworks and best-practices and introduce innovations into the stack.Mentor junior engineers, set standards for AI code, pipelines, architectures.WHAT WILL MAKE US HAPPY 🤩5+ years of software engineering experience (Python - must) AND at least 2-3 years working specifically on LLM or GenAI projects.Strong proficiency in Python, and experience with ML/AI libraries (PyTorch, TensorFlow, Hugging Face).Solid understanding of backend API/microservice architecture.Hands-on experience with large language models (LLMs), prompt engineering, RAG and fine-tuning.Experience building and operating scalable cloud-native services (AWS preferred) for AI workloads.Excellent problem-solving skills, initiative, and ability to work independently in a hybrid/remote environment.Clear communication skills and ability to engage with both technical and business stakeholders.NICE TO HAVEExperience with containerisation (Docker, Kubernetes) and orchestration of AI services.Familiarity with Infrastructure as Code (Terraform, AWS CDK) for deploying AI infrastructure.Knowledge of agentic AI workflows