Senior Full-Stack Engineer – GenAI

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Codurance

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Codurance is a global software consultancy firm focused on helping businesses modernize their technical capabilities and build sustainable growth. With a dedication to Software Craftsmanship, Codurance emphasizes professionalism and technical excellence in software development. The company offers a range of services, including software modernization, product development, and cloud engineering, tailored to help clients solve complex challenges and achieve their business goals. Codurance partners with leading technology teams and utilizes agile and lean processes to ensure efficient and impactful delivery.

📋 Description

• Design and extend production-grade LLM applications and agentic workflows using NestJS, XState v5, and the OpenAI SDK • Build and maintain the conversation-machine substrate, including guard/action registries, flow validation with AJV, DB-driven flow configurations, and design-time tooling in Epicenter admin • Build and evolve AI systems behind Epic Support Assistant, the player-facing support chatbot, and Agent Support Assistant, the AI copilot used by customer support agents • Integrate with MCP servers for tool-use and agentic behaviors • Evaluate, benchmark, and tune models across OpenAI, Gemini, Anthropic, and future providers; make model-selection decisions balancing quality, latency, throughput, reliability, and cost • Troubleshoot production LLM issues including hallucinations, retrieval failures, prompt regressions, model drift, token inefficiencies, latency bottlenecks, and provider outages • Build resilience mechanisms including retries, fallback routing, caching, streaming, rate limiting, and provider routing • Instrument and tune model quality using Langfuse tracing, evaluations, prompt management, evaluation datasets, A/B testing, prompt versioning, and production telemetry • Manage asynchronous workloads via BullMQ and caching with Redis • Manage PostgreSQL persistence via Kysely

🎯 Requirements

• Proven experience building and operating production LLM-powered systems similar in scope to chatbots, AI assistants, agent copilots, RAG systems, or LLM orchestration platforms • Strong TypeScript/Node.js engineering; TypeScript strict-mode fluency • Production AI experience: prompt engineering, RAG pipelines, agent design, tool calling, model evaluation, observability, and failure-mode analysis; shipped AI features, not just prototypes • Full-stack experience across NestJS APIs, React UIs, databases, infrastructure, and production operations • Ability to evaluate tradeoffs between model quality, latency, reliability, throughput, and cost • Ability to troubleshoot AI systems across prompts, retrieval pipelines, model configuration, infrastructure, and application code • State machine thinking; XState or similar experience is a strong signal • Solid understanding of REST API design, async patterns such as queues and events, and caching strategies • Strong testing culture covering unit, integration, and contract tests • Experience working in a monorepo with multiple interconnected services • Hands-on experience with MCP or building tool-use agentic workflows • Familiarity with Langfuse or other LLM observability/evaluation platforms • Experience operating AI workloads at scale • Experience evaluating multiple foundation models and providers • Experience building AI copilots, assistants, or conversational products • Experience with semantic search and retrieval architectures • Experience with AI gateways such as Portkey or similar platforms • Experience with NestJS modules, providers, guards, interceptors, and dependency injection patterns • Background in customer support or player support platforms • Experience shipping under low-latency constraints, including chatbot response-time budgets and streaming • Previous work in gaming or high-volume consumer products