AI Developer (React Web)

AI Developer (React & Agentic Interfaces), are you there?

Hey there! We're looking for an AI Developer (React & Agentic Interfaces) for a leading US-based broadband and telecom company focused on enterprise AI infrastructure and intelligent automation. If you are a strong React engineer who has built AI-powered products, understands how agents interact with web interfaces, and is comfortable working with the agent stack behind them, keep reading!

100% Remote Salary in USD Latin America – Reporting to Phoenix, Arizona, US Central Time Full Time Fluent English, spoken and written

About our client

You will be working for our client, a broadband and telecommunications company that is modernizing its enterprise IT operations through AI-driven automation and agentic systems. They are building scalable AI infrastructure to support IT operations management, service automation, and intelligent data access across their organization. The team works in an agile, collaborative environment with direct stakeholder engagement and a strong focus on production-quality AI systems.

About Athyna

Athyna is a Global Talent Platform, helping align world-class talent with the best employment opportunities across the globe.

We believe in the future of work. That's why we are a 100% globally distributed team across 5 continents. We believe in people, and we value freedom, integrity, quality, and sustainability.

We're proudly carbon neutral as an organization and 5% of all revenue funds impact-driven startups & climate tech. We're very keen on social impact, we truly care about everyone on our team, and we want to make the world a better place for all of us.

In your day-to-day, you will

• Build and manage the React web interface for the client's agentic associate, including chat, streaming responses, tool-call visibility, approvals, and human-in-the-loop controls


• Design how agents show their work in the UI: reasoning steps, tool calls, citations, errors, and the status of long-running tasks


• Connect the front end to agent backends (LangGraph, CrewAI, AutoGen, or similar) and MCP (Model Context Protocol) servers through clean, well-defined APIs


• Build interface features backed by RAG pipelines and vector databases, such as document retrieval, source attribution, and enterprise knowledge access


• Apply guardrails and security controls across the interface and API layers, including input/output filtering, data masking, and pre/post-tool execution controls


• Deploy containerized applications using GitOps practices and CI/CD pipelines


• Work with observability tools (Langfuse, Grafana) to track performance, cost, latency, and quality in production


• Collaborate directly with US-based stakeholders, communicating requirements, design decisions, and delivery updates clearly in spoken and written English

Skills you have

• 3+ years of hands-on software development with production deployments, including real-world AI/LLM application work


• Strong React and TypeScript/JavaScript experience: component architecture, state management, performance, and testing


• Experience building AI-facing interfaces: streaming responses, tool-call rendering, generative UI, and human-in-the-loop flows (Vercel AI SDK, assistant-ui, CopilotKit, AG-UI, or similar)


• A very good sense of how AI interacts with web interfaces, including structured outputs, tool use, and how agents read from and act on front-end applications


• Hands-on experience with at least two AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar), and the ability to reason about architectural tradeoffs independently


• Working experience with MCP servers, ideally having built or extended one yourself, and able to explain schemas and lifecycle with real examples


• RAG experience with vector databases (Qdrant, Pinecone, ChromaDB, or similar), including embedding strategies and retrieval optimization


• Practical experience with guardrails across more than one platform: input/output filtering, data masking, redaction, and pre/post-tool execution controls


• GitOps fundamentals: branching strategies, promotion workflows, infra/app separation, and Git as the source of truth


• Docker, Kubernetes, and CI/CD for production deployments


• Python with FastAPI or similar for API development


• Fluent spoken and written English, so you can discuss and reason through technical requirements in real time without friction

Skills that will make you stand out

• Experience deploying open-source LLMs (Ollama, vLLM, Hugging Face Inference) in production


• Experience with LLM observability tools (Langfuse, LangSmith, Arize, or similar) and infrastructure monitoring (Grafana, Prometheus)


• Familiarity with n8n or similar workflow automation platforms (Make, Zapier)


• Familiarity with ServiceNow ITOM or enterprise IT management platforms


• Background in telecommunications, broadband, or infrastructure-heavy industries


• AWS or Azure cloud experience


• Next.js, design systems, and accessibility experience


• Contributions to open-source AI projects

You'll be entitled to

Salary in USD

Flexible working hours

Great opportunities for career growth

Opportunity to work in an amazing environment