Go + React FDE with Gen AI Realign LLC Sunnyvale, CA Job Details Full-time $180,000 a year 4 hours ago Qualifications AI models Containerization systems Stakeholder engagement Go Requirements specification Requirements design Direct client contact Generative models Coroutines AI platforms (beyond public GPTs) JavaScript frameworks Prompt engineering Microservices Model deployment Requirements analysis Customer engagement Cloud Native Design Developing and maintaining backend systems Front-end component implementation gRPC TypeScript Generative AI Analytics Full Job Description Sunnyvale, California 94043 Posted August 25th, 2026
Job Type:
Full Time Job Category:
IT Job Description Role:
Go + React FDE with
Gen AI Location:
Sunnyvale, CA FTE 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. Key Responsibilities 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 Required Qualifications Skill Requirement Go (Golang) 4+ years — goroutines, g
RPC, 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 Required Skills Full-Stack Lead Fullstack Developer with GCP IT Project Manager Web Development & Analytics Consultant