AI Full-Stack Engineer
1 settimana fa
, Italia
Dicto AI
Tempo pieno
Gratuito con email o Google
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Gratuito con email o Google
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. Responsibilities
* 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
* 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
* 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
* Comfortable owning work across backend, frontend, and ML integration
* Able to move quickly between prototyping and production‐grade implementation
* Pragmatic, product‐oriented, and comfortable operating in ambiguous environments
* 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
* 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
* 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
* Comfortable owning work across backend, frontend, and ML integration
* Able to move quickly between prototyping and production‐grade implementation
* Pragmatic, product‐oriented, and comfortable operating in ambiguous environments
