What are the responsibilities and job description for the AWS AI/ML Developer | Mid position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AWS AI/ML Developer | Mid in Brazil.
This role is focused on building and scaling cutting-edge Generative AI solutions that transform how organizations process, understand, and extract value from unstructured data. You will work on end-to-end AI pipelines, from data ingestion and document preparation to LLM integration and semantic search systems. The environment is highly technical and cloud-driven, leveraging both AWS and Azure AI services to deliver scalable, production-ready solutions. You will contribute directly to Retrieval-Augmented Generation (RAG) architectures, embedding systems, and vector databases powering intelligent applications. Working closely with stakeholders, you will translate business needs into AI-driven solutions with measurable impact. This position offers strong exposure to modern GenAI ecosystems, advanced cloud architectures, and real-world AI product development.
- 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.
Requirements:
- 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).
Benefits:
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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