<p><p><b>Description :</b></p><br/><p><b>Responsibilities :</b></p><br/><p>- Technical Leadership : Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement.</p><br/><p>- 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.</p><br/><p>- Architecture : Collaborate with cross-functional teams to architect scalable, secure, and performant AI-driven microservices.</p><br/><p>- Cloud and AI Integration : Utilise cloud services (primarily AWS Bedrock, Lambda, EC2 S3 RDS) to develop efficient, robust, and scalable solutions.</p><br/><p>- 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.</p><br/><p>- Code Quality : Ensure high-quality code through rigorous code reviews and continuous improvement processes.</p><br/><p>- Problem Solving : Address complex technical challenges, identify root causes, and provide effective solutions.</p><br/><p>- Cross-team Collaboration : Work closely with product managers, designers, and stakeholders to align technical solutions with business goals.</p><br/><p><b>Requirements :</b></p><br/><p>- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</p><p><br/></p><p>- Strong hands-on experience with AI/ML, including Retrieval-Augmented Generation (RAG), AI Agents, and deploying these technologies into production environments.</p><br/><p>- Familiarity with AWS Bedrock and its AI model hosting ecosystem is highly advantageous.</p><br/><p>- Experience with Typescript and API frameworks (Express) preferred.</p><br/><p>- Good understanding of SQL and NoSQL databases.</p><br/><p>- Demonstrable experience deploying scalable solutions in cloud environments (AWS preferred).</p><br/><p>- Proficient in deploying containerised applications (Docker, Kubernetes, ECS).</p><br/><p>- Knowledge of DevOps best practices and Infrastructure as Code (e.
g., AWS CloudFormation) is beneficial.</p><br/><p>- Exceptional leadership, communication, and mentoring skills.</p><br/><p>- Proven capability to own features end-to-end in an agile, fast-paced environment.</p><br/></p> (ref:hirist.tech)