Go + React FDE with Gen AI

Realign Llc
Sunnyvale, CA, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$180,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+9 more
Generative AI Backend Virtual Agents Restful APIs Grpc GPT Serverless Computing Golang Microservices

Job 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

Requirements

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

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