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# Go + React FDE with Gen AI

- **Company:** Realign Llc
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Web Development, TypeScript, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Virtual Agents, Restful APIs, Grpc, GPT, Serverless Computing, Golang, Microservices
- **Published:** August 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e2bab9f47a2025c9

## About the Role

Hands-on engineer who embeds directly with enterprise customers to deploy, customize, and scale AI-powered applications. Candidate should be able to build production-grade backend services in Go and modern UIs in React, while integrating GenAI capabilities into real customer environments. Candidate should be equally comfortable in a customer meeting and a code editor., Go (Golang)
4+ years - goroutines, gRPC, REST APIs, microservices

React / TypeScript
3+ years - hooks, state management, component architecture

AI/GenAI Integration
2+ years - LLM APIs (Claude / GPT-4 / Gemini), tool use, function calling

Agentic AI
LangChain / LangGraph / MCP - multi-agent workflows, RAG pipelines

Prompt Engineering
Structured outputs, few-shot, chain-of-thought, guardrails

Cloud Deployment
AWS / GCP / Azure - containerized, serverless architectures

Customer Engagement
Direct customer-facing delivery, requirements translation

Communication

Strong written and verbal - executive and technical audiences

## Description

Deploy, configure, and customize solutions in customer environments end-to-end
Build and maintain backend services and APIs in Go for high-performance, low-latency workloads
Develop responsive, production-grade UIs using React / TypeScript
Integrate LLM APIs (Claude, GPT-4, Gemini) and agentic AI workflows into customer-facing products
Translate complex customer requirements into working technical solutions
Troubleshoot, optimize, and scale deployments across cloud-native environments
Partner with Product and Engineering to feed customer insights back into the roadmap
Serve as a trusted technical advisor and mentor to customer engineering teams


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- [Agentic AI in Go](https://www.wearedevelopers.com/videos/100274-agentic-ai-in-go)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services)
- [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall)
- [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software)
- [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs)

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