**Hello! Do you believe you found this opportunity by chance?** At **Nimber**, we dont believe in chance we believe in curiosity, creativity, and people who build with purpose. If this role sparked your interest, great. Keep reading Were not just hiring were building a team of AI pioneers ready to shape the future of intelligent agents. If youre passionate about LLMs, agent architecture, and solving complex problems with cutting\-edge tools, this is your moment. ### **Position: LLM Engineer \- AI Agent Development** **Location:** Maia, Porto (On\-site) **Experience Level:** Junior to Mid (1\-4 years) **Employment Type:** Full\-time **About the Role** ------------------ Youll join our **AI development team** to refine existing agents and help build the next generation using **MCP (Model Context Protocol)**. From hallucination control to multi\-agent orchestration, youll be working at the forefront of conversational AI and customer support automation. **Key Projects** ---------------- ### **Current: Backoffice Agent Refinement** * Enhance agent capabilities and performance * Optimize workflows using **LangGraph** for multi\-step reasoning * Implement hallucination detection and mitigation strategies * Improve reliability, error handling, and output validation ### **Upcoming: Frontend Agent \& MCP Server** * Design real\-time customer\-facing agents * Implement **MCP server architecture** for seamless model integration * Build scalable infrastructure for concurrent interactions * Develop robust conversation management and context preservation **Key Responsibilities** ------------------------ ### **AI Agent Development \& Architecture** * Design complex workflows with **LangGraph** * Build **LangChain** pipelines for document retrieval * Implement **hallucination control** and validation mechanisms * Create scalable agent architectures for high concurrency * Develop **RAG systems** with vector databases ### **Advanced Agent Capabilities** * Orchestrate **multi\-agent systems** * Implement **tool calling** and function execution frameworks * Design **memory systems** for long\-term context * Build agent evaluation and testing frameworks * Optimize prompts and dynamic generation strategies ### **Production \& Scalability** * Apply **horizontal scaling** strategies * Develop caching for embeddings and responses * Implement load balancing and token cost optimization * Build rate limiting and abuse prevention mechanisms ### **Quality \& Safety** * Create output validation pipelines * Implement safety filters and content moderation * Develop confidence scoring and uncertainty quantification * Design human\-in\-the\-loop workflows * Build audit trails and logging systems **Required Technical Skills** ----------------------------- ### **AI/ML Frameworks \& Tools** * **LangChain** \& **LangGraph** for agent workflows * **Vector databases** (PostgreSQL \+ pgvector) * **LLM APIs** (OpenAI GPT\-4, Claude, etc.) * **Embeddings** for semantic search and retrieval ### **Hallucination Control \& Validation** * Fact\-checking and ground truth verification * Confidence scoring and output validation * Guardrails and content filtering ### **Scalability \& Performance** * Async programming with **Python asyncio** * Queue systems (Redis, Celery, RQ) * Caching strategies and database optimization * Load testing for high\-concurrency scenarios ### **Backend Development** * **Python** (2\+ years), FastAPI or Flask * PostgreSQL, vector DBs, ORM usage * Authentication (JWT, OAuth) * Docker and container orchestration **Soft Skills \& Attributes** ----------------------------- * Creative problem\-solving mindset * Precision in prompt engineering and validation * Empathy for user experience in conversational interfaces * Analytical thinking and data\-driven decision\-making * Strong communication in English and Portuguese * Adaptability to fast\-evolving AI technologies * Commitment to quality and production\-readiness **What We Offer** ----------------- * Competitive salary based on experience * Budget for AI/ML courses and certifications * Access to premium LLM APIs and dev tools * Modern office in Maia with high\-performance hardware * Flexible working hours within core business times * Opportunity to work on cutting\-edge AI agent tech * Coffee and snacks always available **Work Environment** -------------------- This is an **on\-site position** in our **Maia office**. We foster a collaborative space where AI engineers experiment, share discoveries, and iterate quickly. Our team thrives on continuous learning and pushing the boundaries of agent development. **Technical Stack** ------------------- * **AI/ML:** LangChain, LangGraph, GPT\-4, Claude, Hugging Face * **Languages:** Python (primary), TypeScript/JavaScript (frontend) * **Databases:** PostgreSQL \+ pgvector, Redis * **Infrastructure:** Docker, Kubernetes, AWS/GCP/Azure * **Monitoring:** OpenTelemetry, Prometheus * **Development:** FastAPI, Pydantic, pytest, black, mypy **Technical Interview Topics** ------------------------------ ### **Agent Architecture \& Development** * LangGraph workflow design * LangChain pipeline optimization * RAG architecture and vector DB selection * Multi\-agent coordination patterns ### **Quality \& Safety** * Hallucination detection and mitigation * Output validation and fact\-checking * Confidence scoring and safety filters ### **Scalability \& Performance** * Horizontal scaling and caching * Async programming for concurrency * Token optimization and cost control ### **Integration \& Production** * MCP protocol implementation * Real\-time conversation systems * Error handling and observability **Sample Technical Challenges** ------------------------------- You may be asked to: * Design a LangGraph workflow for a multi\-step support scenario * Implement hallucination detection for agent responses * Architect a system for 1000\+ concurrent conversations * Debug inconsistent agent outputs * Optimize a RAG system for speed and accuracy **Ready to stop being just another number?** Apply now and become a **Nimber** where your ideas shape the future of AI.