AI Engineer

Description

Job Summary: AI Engineer to develop and evolve generative AI solutions in a production environment, seeking a strong technical profile and architectural vision. Key Highlights: 1. Work on the development and evolution of generative AI solutions. 2. Technically lead end-to-end RAG implementations. 3. Implement and consolidate LLMOps/IAOps practices. We are looking for an AI Engineer to work on the development, maintenance, and evolution of generative AI solutions in a production environment. We seek someone with a solid technical background, architectural vision, and the ability to transform models into robust, scalable, and cost-efficient solutions. Key Responsibilities: * Define and implement AI solution architectures (pipelines, embeddings, vectorization, services, and reusable components). * Technically lead end-to-end RAG implementations (ingestion, chunking, embeddings, vector database, semantic search, and retrieval strategies). * Structure and evolve evaluation frameworks (Evals) and continuous assessment processes (quality, security, response relevance, and behavior). * Implement and consolidate LLMOps/IAOps practices (CI/CD, versioning, deployment, rollback, observability, and model governance). * Ensure reliability and monitoring of solutions: metrics, automated testing, incident analysis, and continuous improvement. * Develop robust integrations via REST APIs and microservices, connecting AI capabilities to enterprise systems. * Work on data engineering (ETL/ELT), ensuring data quality, traceability, and performance for model consumption. * Provide technical support to the team, documenting architectural decisions and disseminating best practices. Requirements: * Strong proficiency in Python for developing production applications and services. * Practical experience with LLMs, RAG architectures, and vector databases. * Experience with orchestration frameworks (e.g., LangChain, Agno, or similar). * Experience with REST APIs, microservices, and distributed architecture. * Solid knowledge of Docker and CI/CD pipelines. * Experience with observability, metrics, and testing in production environments. * Consistent foundation in data engineering applied to AI. Benefits: Meal Voucher with flexible value (Caju) Profit Sharing Program (PPR) Longevity Bonus ️ Life Insurance ❤️ Unimed Health Plan — monthly fee fully covered by WK Dental Plan 2 monthly psychological counseling sessions (Conexa) 2 monthly nutritional counseling sessions (Conexa) Referral Bonus for professionals Career Development Plan Education Assistance * 40-hour weekly schedule \+ Hour Bank Free Parking or Transportation Voucher Birthday Day Off (yours or your child's) Every Day is Pet Day No Dress Code Open Doors for Family Workplace Gymnastics * Plenty of coffee Trusted Commerce Wellhub (Gympass) Numerous partnerships (SESC, ACIB, AMPE, ACATE, Wizard, Open English, among others) Extended maternity and paternity leave **WK respects and promotes diversity.** **All our positions are also open to people with disabilities (PCD).**