Senior Generative AI Engineer - Front End
Senior front-end role building AI-native applications and conversational interfaces. Focuses on React, TypeScript, and real-time streaming (WebSockets/SSE) to create agentic workflows and generative UIs within the pharma analytics domain.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's degree
- 5+ years of software building experience
- Expert-level React and TypeScript
- 3+ years building GenAI-powered or conversational products
- Experience with WebSockets and SSE
- Understanding of agents, prompting, tool-calling, RAG
- Comfort with LangChain, LangGraph, AWS AgentCore
Nice to have
- Experience in healthcare or pharmaceutical industries
- Fluency with design-to-code workflows (Figma)
- Experience with voice and other multimodal GenAI interfaces
- Familiarity with common security protocols
Full description
About Chryselys
Chryselys is a Great Place to Work Certified Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Role Summary
A Generative AI Application Specialist builds what users actually touch: the conversational, agentic, and GenAI-workflow applications that turn our AI capabilities into products people trust and rely on. This is a front-end-led, full-stack role for the age of AI. You will own the experience layer where reasoning agents, streaming responses, and generative interfaces meet real users, and you will partner closely with infrastructure and product teams to make those experiences fast, legible, and reliable. We are not looking for a traditional data scientist, a UI-only developer, or someone who only “vibe-codes” with an assistant. We are looking for a strong engineer who is redefining what front-end means when the interface is a living, reasoning system.
Responsibilities
- 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.