10 set - Alba
Dicto AI
We're looking for a full-stack engineer with strong Node JS / 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 (Nest JS, React, Type Script). Develop backend services and AI-driven features using Type Script. 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 Postgre SQL, 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 Type Script 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 Postgre SQL 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
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