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265011 - Fullstack Developer (Mid-level)

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience level1 to 2 years
Education levelNo degree limit

Description

**Open positions for those who want to transform businesses and their careers!** --------------------------------------------------------------------- ### **What you will find** • Mentoring program to support you during your onboarding period • Courses and certifications fully funded by the company • English classes fully funded by the company### **Desirable** • Experience with tools such as Python, TensorFlow, PyTorch, or Scikit\-learn. • Knowledge of MLOps (model deployment, monitoring, and versioning). • Experience with embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS). • Experience with generative AI architectures (RAG, fine\-tuning, agents). • Knowledge of messaging and streaming systems (Kafka, SQS, etc). • Experience with Kubernetes and Docker.### **Job requirements** • Experience in Artificial Intelligence or Machine Learning projects. • Experience integrating AI APIs (LLMs, NLP, computer vision, or similar). • Proficiency in JavaScript/TypeScript and Node.js. • Experience with React.js and Next.js. • Experience with AWS in production environments. • Knowledge of REST/GraphQL APIs. • Experience with SQL and NoSQL databases. • Familiarity with data pipelines and asynchronous processing.### **Your responsibilities** • Develop complete applications (frontend and backend) with a focus on performance and scalability. • Build modern interfaces using React.js and Next.js. • Develop robust APIs with Node.js (NestJS, Express, or Fastify). • Integrate systems with AI services and pipelines. Artificial Intelligence: • Develop and integrate solutions based on machine learning and generative AI. • Work with language model APIs (LLMs), embeddings, and fine\-tuning. • Build data pipelines for model training, validation, and inference. • Implement recommendation, classification, prediction, or intelligent automation systems. • Collaborate with data teams to enhance models and AI products. • Ensure best practices for model versioning, monitoring, and continuous improvement. Infrastructure and Cloud (AWS): • Develop scalable solutions using AWS (Lambda, S3, ECS/EKS, API Gateway, DynamoDB, RDS). • Implement serverless and event-driven architectures. • Create CI/CD pipelines and automated deployment workflows. • Monitor applications and AI pipelines.### **It’s important to remember that ...** At UDS, we hire competent people who are eager to transform industries using their expertise. This is independent of your region, age, ethnicity or race, religion, gender identity, or sexual orientation. Do your skills match the position? **That’s all that matters.** Do your profile and values align with ours? **Join us to create transformations together.**

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Posted by

João Silva

Indeed · HR

Location

João Silva

Indeed · HR

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