We’re looking for a full-stack engineer with strong NodeJS / Python experience, combined with solid MERN-stack development skills. This role mixes applied AI work, backend engineering, and full product delivery. You’ll work across data pipelines, APIs, model integration, retrieval-augmented generation (RAG) systems, and cloud-native deployments.

Le informazioni riportate di seguito illustrano i requisiti del ruolo, l'esperienza richiesta ai candidati e le qualifiche associate.
Responsibilities

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- Build and maintain full-stack applications using the MERN stack (NestJS, React, TypeScript).

- Develop backend services and AI-driven features using TypeScript.

- Help to maintain RAG pipelines, vector databases, embeddings workflows, and model-serving integrations.

- Implement scalable APIs and microservices integrating ML or LLM-based components.

- Deploy and manage services in AWS and/or GCP (compute, storage, networking, CI/CD).

- Work with PostgreSQL, Redis and Qdrant for structured and unstructured data.

- Collaborate with product and technical teams to take AI-powered features from prototype to production.

- Maintain quality, performance, and reliability across the stack.

Required Skills

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- Strong TypeScript experience for backend development and applied ML.

- Hands-on experience building RAG systems: vector stores, retrieval layers, embedding models.

- Solid understanding of LLM integration, prompt patterns, and model-serving frameworks.

- MERN-stack experience with strong React proficiency.

- Strong Node.js and Express experience for API development.

- Proficiency with PostgreSQL and database-schema design.

- Experience deploying both traditional and ML workloads on AWS or GCP.

- Good grasp of distributed systems, containers, and CI/CD workflows.

Nice to Have

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- Work across ML workflows: data ingestion, preprocessing, inference, and evaluation.

- Experience with Haystack, or similar frameworks.

- Exposure to GPU workflows, inference optimization, or fine-tuning.

- Familiarity with serverless environments.

- Experience with observability tools across backend and ML systems.

Profile

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- Comfortable owning work across backend, frontend, and ML integration.

- Able to move quickly between prototyping and production-grade implementation. xysqume

- Pragmatic, product-oriented, and comfortable operating in ambiguous environments.

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📌 Full-Stack Engineer (AI/ML & MERN Stack) (Alba)
🏢 Dicto AI
📍 Alba