AWS AI/ML Developer | Mid in Brazil, Indiana at Jobgether

• Design, develop, and evolve Generative AI solutions focused on document processing and intelligent data extraction.
• Build and maintain automated data ingestion and transformation pipelines for RAG-based architectures.
• Prepare, structure, and optimize documents for processing by large language models (LLMs).
• Develop and integrate AI solutions using cloud services, including AWS Bedrock and Azure AI Services.
• Implement semantic search, embeddings, and vector database solutions for advanced information retrieval.
• Engineer and optimize prompts to improve accuracy, relevance, and performance of LLM outputs.
• Integrate generative AI APIs such as OpenAI and equivalent services into scalable applications.
• Contribute to the design of cloud-native, scalable AI architectures.
• Define and execute functional and technical testing strategies for AI solutions.
• Create monitoring metrics and KPIs to evaluate performance, quality, and effectiveness of AI systems.
• Produce technical documentation and collaborate with stakeholders to align AI solutions with business needs.
• Present insights, results, and solution evolutions to both technical and business audiences.
• Support continuous improvement of GenAI frameworks, tools, and engineering practices.

• Bachelor’s degree in Information Technology or postgraduate qualification in a related field (minimum 360 hours recognized by MEC).
• At least 4 years of professional experience in technology-related roles.
• Strong experience with Generative AI solutions and integration of Large Language Models (LLMs).
• Solid understanding of Retrieval-Augmented Generation (RAG) architectures.
• Experience building automated data ingestion and processing pipelines for AI applications.
• Advanced knowledge of Azure AI services, including Azure OpenAI and Document Intelligence.
• Hands-on experience with AWS, especially Amazon Bedrock.
• Strong experience integrating APIs for chat and LLM-based applications.
• Knowledge of embeddings, vector databases, and semantic search techniques.
• Experience designing cloud-based AI architectures.
• Strong Python programming skills for scalable AI development and integration.
• Experience handling and processing large-scale datasets.
• Proficiency with Git for version control.
• Ability to document technical solutions and communicate effectively across technical and business teams.
• Strong analytical thinking, problem-solving skills, and ability to work in complex environments.

Nice to have:

• Experience with AI-driven document analysis projects.
• Knowledge of advanced prompt engineering techniques.
• Experience with orchestration frameworks such as LangChain or similar tools.
• Familiarity with observability and monitoring of AI systems.
• Experience optimizing AI model quality metrics and evaluation strategies.
• Knowledge of hybrid search systems combining semantic and traditional search.
• Cloud or AI certifications (Azure, AWS, or related domains).

• Remote work model with flexibility.
• Competitive compensation aligned with market standards.
• Health and dental insurance coverage.
• Meal and food allowances (where applicable).
• Home office support.
• Access to continuous learning and technical upskilling programs.
• Exposure to cutting-edge Generative AI and cloud-native projects.
• Collaborative and innovation-driven environment focused on AI transformation.
• Career growth opportunities in advanced AI and cloud engineering domains.