16 ott - Alba
Altro
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 int
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