What You'll Be Doing

• Lead design, development, and deployment of scalable and high-performance components for the Wise Assistant, including Java microservices and TypeScript/Python codebases.
• Own intent detection systems, contact processing pipelines, and routing logic for automation solutions like templates, RAG, LLM workflows, AI agents, and vendor solutions.
• Design and implement AI solutions leveraging foundational LLM models (AWS Bedrock) to resolve customer queries effectively.
• Manage technical integration with third-party AI agent vendors ensuring seamless connectivity.
• Continuously improve the performance, reliability, and scalability of the automation platform.
• Collaborate with content designers to refine automated conversational flows and enhance user experience.
• Mentor and provide technical guidance to other engineers to promote engineering excellence and continuous learning.

Requirements

• Experience with Java microservices and Kafka message systems.
• Familiarity with TypeScript and Python codebases.
• Strong background in designing and deploying scalable, resilient software systems.
• Knowledge of AI technologies, especially large language models and their applications (e.g., AWS Bedrock).
• Ability to integrate and orchestrate third-party AI solutions and vendor technologies.
• Proven experience working in agile, cross-functional teams.
• Strong collaboration skills and experience mentoring other engineers.

Nice to Haves

• Experience with contact processing pipelines and routing logic in automation platforms.
• Background in building conversational flows and automated customer support solutions.
• Experience working in a distributed and international team environment.