- AI & Analytics Development : Design, build, and deploy scalable AI-driven analytics solutions, leveraging advanced AI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and foundational models.

- Architecture : Collaborate with cross-functional teams to architect scalable, secure, and performant AI-driven microservices.

- Cloud and AI Integration : Utilise cloud services (primarily AWS Bedrock, Lambda, EC2 S3 RDS) to develop efficient, robust, and scalable solutions.

- Model Evaluation : Implement and evaluate various AI models (e. g., OpenAI, Anthropic Claude, Amazon Titan), understanding trade-offs such as latency, cost, accuracy, and scalability.

- Code Quality : Ensure high-quality code through rigorous code reviews and continuous improvement processes.

- Problem Solving : Address complex technical challenges, identify root causes, and provide effective solutions.

- Cross-team Collaboration : Work closely with product managers, designers, and stakeholders to align technical solutions with business goals.

Requirements :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Strong hands-on experience with AI/ML, including Retrieval-Augmented Generation (RAG), AI Agents, and deploying these technologies into production environments.

- Familiarity with AWS Bedrock and its AI model hosting ecosystem is highly advantageous.

- Experience with Typescript and API frameworks (Express) preferred.

- Good understanding of SQL and NoSQL databases.

- Demonstrable experience deploying scalable solutions in cloud environments (AWS preferred).

- Proficient in deploying containerised applications (Docker, Kubernetes, ECS).

- Knowledge of DevOps best practices and Infrastructure as Code (e. g., AWS CloudFormation) is beneficial.

- Exceptional leadership, communication, and mentoring skills.

- Proven capability to own features end-to-end in an agile, fast-paced environment.