Senior Fullstack AI Agent Developer – Node.js, Vue.js, RAG

FCamara Consulting & Training

Senior Fullstack AI Agent Developer building Node.js/Vue.js applications and production LLM/RAG solutions. Supporting a global operations, risk, and sustainability services provider.

Posted 8/20/2026full-timeRemote • 🇵🇹 PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling modern web applications and APIs, with a strong focus on LLM/RAG solutions. Proficient in both back-end and front-end development, ensuring high performance, security, and adherence to technical standards.

Highest-signal resume keywords

Node.js DevelopmentVue.js Front-End DevelopmentLLM API IntegrationRAG Pipeline DevelopmentCloud-Native Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RESTful API DevelopmentEvent-Driven ArchitectureClean Code PrinciplesPrompt EngineeringFunction Calling/Tool UseDatabase ModelingPerformance OptimizationAutomated TestingSecurity PracticesMicroservices Architecture

Soft Skills

CollaborativeProactiveOwnershipSystemic VisionTeam-Oriented

Tools & Technologies

DockerAzure Cloud InfrastructureMongoDBRedisLangChainOpenAIPrimeVueEChartsAzure AI SearchPgvector

Industry Keywords

LLMRAGAPI VersioningDesign SystemsHybrid SearchDocument IngestionAccess ControlObservabilityWeb Accessibility StandardsJWT

Tech Stack

Tools & technologies

AssemblyAzureCloudDockerJavaScriptMicroservicesMongoDBNode.jsRedisTypeScriptVue.js

About the role

Key responsibilities & impact

Build, evolve, and scale modern web applications, APIs, and production-grade LLM/RAG solutions within the Client's digital platform
Take full hands-on ownership across back-end and front-end architectures
Develop scalable, secure, resilient, and performant end-to-end solutions from API design to front-end interfaces
Define and enforce technical standards across front-end and back-end stacks
Collaborate with Tech Leaders, Architects, UX, QA, DevOps, and multidisciplinary squads
Integrate, orchestrate, evaluate, and deploy LLM-based capabilities into production while controlling quality, cost, latency, and security
Design and build end-to-end RAG pipelines covering ingestion, parsing, chunking, embedding generation, vector indexing, retrieval, hybrid search, and metadata filtering
Implement function calling, tool integration, multi-step workflow orchestration, state management, idempotency, and deterministic fallback strategies
Create modern Vue.js interfaces for AI experiences, including real-time token streaming, loading states, citation rendering, and user feedback collection
Implement retrieval-layer access control for tenant, user, and role-based data segregation
Write unit, integration, and UI tests; diagnose performance bottlenecks, rendering issues, and technical debt
Monitor, evaluate, and optimize production LLM features, including prompt regressions, hallucinations, retrieval quality, and model failure scenarios
Maintain technical documentation covering APIs, component architectures, prompt pipelines, RAG data sources, and system decisions

Requirements

What you’ll need

At least 5+ years of experience in similar roles
Solid back-end development experience in Node.js applying clean code, design patterns, and SOLID principles
Proven experience building and maintaining RESTful, service-oriented, and event-driven APIs, including API versioning and contract management
Solid front-end development experience with Vue.js and its modern ecosystem, including Composition API, state management, routing, HTML5, CSS3, and JavaScript/TypeScript
Experience creating reusable component libraries and Design Systems, and working with UI components such as PrimeVue and eCharts
Production experience integrating LLM APIs, including authentication, rate limits, timeouts, streaming, retries, and graceful degradation
Applied prompt engineering experience in product environments, including system prompts, few-shot prompting, structured JSON Schema outputs, and scope/tone control
Hands-on experience with function calling/tool use, argument validation, and multi-step workflow orchestration using LangChain, OpenAI, Anthropic, Semantic Kernel, or equivalent
Proven experience building end-to-end RAG pipelines, including ingestion, parsing, chunking strategies, embeddings, indexing, context assembly, and source citations
Hands-on experience with vector databases and semantic search; Azure AI Search preferred, or MongoDB Atlas Vector Search, pgvector, Qdrant, Pinecone, or Weaviate
Experience with hybrid search, reranking, retrieval parameter tuning, and access control filtering
Experience with document ingestion pipelines, incremental indexing, document versioning, and hallucination mitigation techniques
Solid knowledge of cloud-native and microservices architectures, Docker containerization, and Azure cloud infrastructure
Practical experience with database modeling and performance optimization in MongoDB, plus caching and messaging using Redis
Knowledge of end-to-end security practices, including OAuth2/OIDC, JWT, authorization controls, and XSS/CSRF protection
Experience implementing automated unit, integration, and UI testing; observability with logging, metrics, and tracing; and web accessibility standards (A11y)
Experience evaluating LLM performance in production, including prompt regression testing, latency/cost monitoring, and response quality diagnosis
English at minimum B2+ level (professional working proficiency)
Must be currently and lawfully residing with a work permit in an accepted country
Nationality accepted regardless of origin, provided legal residence and work permit requirements are met
Collaborative and team-oriented profile, with technical autonomy, systemic vision, proactivity, pragmatism regarding AI, and ownership of AI outcomes

Benefits

Comp & perks

Fully remote position with occasional, pre-planned visits to Client or FCamara sites in Portugal or Central Europe
Contract arrangements may include employment contract, independent contractor, or B2B
Long-term project
No visa sponsorship or relocation support provided