AI Engineer

Description

Job Summary: We are seeking an AI Engineer to design, train, deploy, and maintain artificial intelligence solutions and applications based on language models. Key Highlights: 1. Design and develop end-to-end AI solutions 2. Manage the full lifecycle of models 3. Collaborate with data, development, and business teams At GrowBy, we are a hub of digital specialists: we connect top-tier IT professionals across the region with high-level projects and companies. This time, we are recruiting to expand our own team in the Technology / Data & Artificial Intelligence area. **Your mission in this role** As an AI Engineer, you will be responsible for designing, training, deploying, and maintaining production-oriented artificial intelligence solutions and applications based on language models. You will combine solid foundations in machine learning, software engineering, and cloud deployment to build reliable and scalable systems that transform data into business outcomes. **What you will do:** * Design and develop reliable and scalable end-to-end AI solutions. * Manage the full model lifecycle: data ingestion and preparation, training, evaluation, and deployment into production. * Integrate AI and LLMs into existing applications via REST APIs, ensuring authentication, error handling, and structured responses. * Develop LLM-based applications (prompting, RAG, and orchestration) to automate processes and generate value from unstructured data. * Monitor model behavior in production, applying performance improvements and responding to incidents. * Collaborate with data, development, and business teams to move models from research to production. * Maintain code quality and technical documentation by applying sound engineering practices. **What we are looking for:** Essential requirements: * University or technical degree in Computer Science, Systems Engineering, Data Science, AI, or related fields (or demonstrable equivalent experience). * 2–4 years of verifiable experience as an AI/ML Engineer, Data Engineer with an AI focus, or AI application developer in production. * Proficiency in Python at production level, with strong engineering practices (Git, testing, maintainable code). * Practical experience with ML/DL frameworks such as TensorFlow, PyTorch, or Keras, and managing the full model lifecycle. * Integration of models into applications via REST APIs using FastAPI or Flask. * Hands-on experience with LLMs and provider APIs (OpenAI, Anthropic, or AWS Bedrock), including prompt design. * Experience with at least one cloud platform (AWS, Azure, or GCP) and knowledge of SQL and data pipelines. * Technical English (reading documentation and written communication). Nice-to-have qualifications: * RAG architectures and vector databases (Pinecone, Chroma, FAISS, or pgvector). * LLM orchestration frameworks (LangChain, LangGraph, or CrewAI). * MLOps practices (Docker, CI/CD, Kubernetes, MLflow). * Model evaluation and observability, and cost optimization (caching and routing) in production. **What we offer:** * Competitive salary + benefits. * Full payroll registration with all statutory benefits. * Meal card. * Professional growth. * Collaborative work environment. **Work mode and conditions:** * 100% remote work. * Working hours: Monday to Friday, 8:00 a.m. to 6:00 p.m. Employment type: Full-time Application question(s): * How many years of experience do you have in this role? * What is your salary expectation? * Are you available to work Monday to Friday between 8 a.m. and 6 p.m. remotely? Work location: Remote position