AWS AI/ML Developer – Mid
Location
Brazil
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
AWS AI/ML Developer – Mid
Compass
• Develop and enhance Generative Artificial Intelligence solutions focused on document processing and analysis; • Build and maintain automated data ingestion pipelines for RAG (Retrieval-Augmented Generation) based solutions; • Prepare, structure, and transform documents for processing by language models (LLMs); • Develop solutions using cloud AI services, focusing on Azure AI Services and Amazon Bedrock; • Implement and optimize semantic search mechanisms, embeddings, and vector databases for intelligent information retrieval; • Create, fine-tune, and evolve prompts to maximize accuracy and the quality of responses generated by AI models; • Integrate applications with Generative AI APIs, including OpenAI-based solutions and equivalent services; • Participate in defining and implementing scalable architectures for AI applications in cloud environments; • Design and execute testing plans for functional and technical validation of developed solutions; • Create metrics and indicators to monitor performance, quality, and effectiveness of AI solutions; • Produce technical and functional documentation for implemented solutions; • Work closely with stakeholders to understand business needs and translate them into AI-based solutions; • Present results, analyses, and solution developments to technical teams and business areas; • Contribute to the continuous improvement of practices, frameworks, and processes related to Generative AI and Machine Learning.
Job Requirements
- Bachelor's degree in Information Technology or a postgraduate degree in IT with a minimum of 360 hours recognized by the MEC (Brazilian Ministry of Education);
- Minimum of 4 years of proven professional experience in technology-related roles;
- Experience with Generative AI solutions and integration of Large Language Models (LLMs);
- Practical knowledge of architectures and solutions based on Retrieval-Augmented Generation (RAG);
- Experience building automated data ingestion and processing pipelines for AI applications;
- Advanced knowledge of Azure, including services such as Azure OpenAI, AI Document Intelligence, and other AI capabilities;
- Knowledge of AWS, especially Amazon Bedrock;
- Experience integrating with chat APIs and language models;
- Knowledge of embeddings, vector databases, and semantic search mechanisms;
- Experience in cloud solution architecture for AI applications;
- Strong knowledge of Python for developing and integrating scalable solutions;
- Experience handling and processing large volumes of data;
- Familiarity with code versioning using Git;
- Ability to document technical solutions and present results to diverse audiences;
- Preferred: Experience in document analysis projects using Generative AI; knowledge of advanced prompt engineering techniques; experience with AI orchestration frameworks such as LangChain or similar; experience with observability and monitoring of AI applications; knowledge in evaluation and optimization of quality metrics for AI models; experience with hybrid information retrieval solutions (semantic search and traditional search); certifications in Azure, AWS, or areas related to Artificial Intelligence and Cloud Computing.
Benefits
- Position also open to candidates with disabilities (PwD)
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