Senior Generative AI Engineer Front End

- Build AI-Native Applications: Design and ship production front-ends for conversational and agentic experiences chat, multimodal, and generative/adaptive UI — that make complex GenAI workflows feel simple, transparent, and trustworthy.

- Master Real-Time & Streaming Interaction: Architect the real-time layer (WebSockets/SSE, token streaming, live agent status, interruptibility, optimistic and latency-aware UI) so conversations and long-running agent tasks feel responsive and alive.

- Design the UI as an Agent Surface: Build interfaces that agents can read and act on — tool-call visualization, human-in-the-loop controls, and “UI-as-context” patterns that let assistants ground their answers in what the user is actually seeing.

- Deliver Conversational & Multimodal UX: Craft chat and (over time) voice/multimodal interactions, surfacing memory, state, and reasoning in ways that build user trust and keep humans in control.

- Own Front-End Craft & Engineering Fundamentals: Deliver well-architected, accessible, performant React/TypeScript applications backed by a real component and design system. This is solid, durable front-end engineering — not throwaway prototypes or assistant-generated code you cannot stand behind.

- Bridge Front-End and Agentic Systems: Partner with infrastructure and orchestration teams to design the contracts between the app and the agents/GenAI workflows behind it, shaping how state, memory, and context flow across the full stack.

- Set Direction & Elevate AI Literacy: Act as a technical coach and pattern-setter,



influencing technical priorities and elevating how the wider organization thinks about interaction, trust, and transparency in AI-native products.

- Operate with Rigor in a Regulated Setting: Manage high-stakes internal and external partnerships while ensuring all work adheres to global compliance, security, and regulatory standards.

Who You Are

- Bachelor's degree and 5+ years of experience building software, with a strong emphasis on front-end and application engineering.

- Front-End Engineering Depth: Expert-level React and TypeScript (or an equivalent modern framework), with deep command of component architecture, state management, accessibility, and performance — a real engineer who writes and reviews production code, not solely AI-generated output.

- Real-Time & Streaming Experience: Hands-on experience with WebSockets, SSE, and streaming interfaces (e.g., token-by-token responses, live status, and interruptible or long-running tasks).

- GenAI Application Fluency: 3+ years building GenAI-powered or conversational products, with practical understanding of agents, prompting, tool-calling, RAG, and the trade-offs of GenAI workflow design.

- Conversational & Generative UI: Experience designing chat, multimodal, and/or adaptive/generative interfaces, and a thoughtful approach to keeping humans in the loop, building trust,



and grounding responses in what is on screen.

- AWS Full-Stack Range: Comfort reaching into the agent and orchestration layer (LangChain, LangGraph, AWS Agentcore) when the experience requires it.

- API & Systems Integration: Comfort integrating front-ends with agent/LLM backends and APIs (REST, event-driven patterns, MCP/A2A), and reasoning about cost, latency, reliability, and observability across the AI system end to end.

- Communication & Collaboration: Ability to partner with product, design, and infrastructure teams and to translate complex technical trade-offs for non-technical stakeholders.

Preferred

- AI-Native Interaction Patterns: A point of view on how front-end is evolving in the age of AI — generative UI, agent-readable interfaces, UI-as-context, and novel interaction models beyond the chatbox.

- Design & Craft: Strong design sensibility and fluency with design-to-code workflows (Figma), motion/polish, and building and maintaining a design system.

- Voice & Multimodal: Experience with voice and other multimodal GenAI interfaces.

- Industry Experience: Experience in healthcare, pharmaceutical, or other highly regulated industries.

- Security Protocols: Familiarity with common security protocols and building software under regulatory constraints.

- Enterprise Navigation: Proven ability to influence technical priorities and manage partnerships within a large-scale, global corporate structure.

- Resilience & Risk Management: Experience leading “fail-forward” initiatives where rapid prototyping and business-value trade-offs are prioritized.

📌 Senior Generative AI Engineer - Front End (Chennai)
🏢 CHRYSELYS
📍 Chennai