Sr Associate - Frontend/Full Stack

Key Responsibilities

• Design and build highly interactive, scalable GenAI and conversational applications using React and TypeScript.
• Develop AI-native user experiences, including conversational interfaces, generative UI, agent workflows, streaming responses, dynamic tool interactions and human-in-the-loop experiences.
• Build real-time experiences using WebSockets, Server-Sent Events (SSE), streaming APIs and event-driven architectures.
• Integrate and orchestrate LLM capabilities including agents, prompt engineering, tool/function calling, RAG and structured outputs.
• Work with agentic frameworks and protocols such as LangChain, LangGraph, AWS AgentCore, MCP and A2A.
• Build integrations with backend services and AI platforms through REST APIs and modern service interfaces.
• Contribute to multimodal and voice-enabled experiences, including conversational audio and other emerging interaction patterns.
• Partner closely with product, UX/design, backend, AI/ML and platform engineering teams to translate ambiguous product requirements into robust technical solutions.
• Establish frontend architecture, reusable components and design-system patterns that support rapid development of AI-powered experiences.
• Ensure applications meet high standards for performance, reliability, accessibility, security and usability.
• Diagnose and optimize production applications, including frontend performance, streaming latency, rendering efficiency and AI interaction latency.
• Contribute to engineering standards around testing, observability, CI/CD, code quality and secure development practices.
• Stay current with rapidly evolving GenAI technologies and evaluate emerging frameworks, models, protocols and interaction paradigms.

Required Experience Skills

• 5+ years of professional software engineering experience, with 3+ years building GenAI, conversational AI or AI-enabled products.
• Expert-level proficiency in React and TypeScript, with strong understanding of modern frontend architecture.
• Strong hands-on experience with real-time and streaming applications, including WebSockets, SSE and incremental/streaming responses.
• Practical experience building production applications using LLMs, agents, RAG, prompting and tool/function calling.
• Experience with one or more of LangChain, LangGraph or AWS AgentCore.
• Strong understanding of REST APIs, MCP and/or A2A and how AI systems interact with tools and external services.
• Experience designing conversational UI, generative UI or AI-native interaction patterns.
• Familiarity with multimodal and/or voice-based AI experiences is highly desirable.
• Strong understanding of frontend performance optimization, accessibility, responsive design and design systems.
• Experience deploying and operating applications on AWS, with an understanding of cloud-native architectures and services.
• Strong software engineering fundamentals, including testing, debugging, version control, CI/CD and production support.

Preferred

• Experience building products in healthcare, life sciences, pharma or other regulated environments
• Familiarity with requirements around privacy, security, auditability and regulated-data handling.
• Experience working with enterprise AI platforms and integrating multiple AI/ML services.
• Experience taking GenAI products from prototype/POC to production at enterprise scale.
• Strong product sense and ability to balance user experience, technical feasibility, performance and business outcomes.

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