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 contemporary 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Associate - Frontend/Full Stack (Hyderabad)
🏢 CHRYSELYS
📍 Hyderabad