AI/ML Solutions Architect

Job not on LinkedIn

🔥 3 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Siteup

1 - 10 employees

Founded 2024

💼 Consulting

📣 Marketing

🤝 B2B

Consulting • Marketing • B2B

Siteup is a company that focuses on elevating online presence through innovative web and app development solutions, as well as strategic digital marketing services. They specialize in creating custom websites and mobile apps that aim to engage users and drive business growth.

📋 Description

• Technically manage a team of 2–3 AI and cloud engineers focused on rapid prototyping in AWS • Mentor and provide technical support to junior and mid-level teammates • Act as a trusted advisor to clients • Develop scalable services implementing AI/ML functionalities, including LLM, ML, and AI models • Design and build agentic systems that plan, call tools, and automate business workflows • Develop LLM-powered applications and RAG pipelines, including chunking, embedding, retrieval strategies, evaluation, and iteration • Work with vector databases and search, including indexing, hybrid and semantic search, and relevance tuning • Integrate AI services with external systems using REST APIs, authentication, webhooks, and SaaS platforms • Perform prompt engineering, model selection, and systematic evaluation of LLM outputs • Build scalable Python services and data flows for ingestion, transformation, and document preparation, including Text2SQL • Implement AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and Textract • Understand customer business problems and provide technology consulting • Own end-to-end solutions, make key technical decisions, and drive delivery teams • Describe infrastructure using Terraform/Terragrunt or AWS CloudFormation • Design, build, and maintain CI/CD pipelines across integration and test environments • Stay current with AWS innovations • Contribute to AWS Competency and Service Delivery Program activities

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field • Multiple years of experience, including recent hands-on work on AI projects • Experience with software engineering, data engineering, or data science • Experience with AWS technologies such as SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, or Elasticsearch • Strong proficiency in Python • Hands-on experience with the GenAI ecosystem, including Amazon Bedrock AgentCore, LangChain, LlamaIndex, agent frameworks, LLM provider SDKs, or Pydantic • Good command of SQL • Working understanding of ETL, pipelines, and data modelling • Proven experience designing, consuming, and integrating APIs • Understanding of RAG, embeddings, vector databases, tool calling, agent patterns, prompt engineering, and evaluation • Working knowledge of AWS, including hands-on use of at least one AI/ML or serverless service • Strong cloud-agnostic experience across multiple providers is a plus • Excellent problem-solving and communication skills • Ability to work independently and collaboratively in a fast-paced environment • AWS Professional/Specialty Certification is a plus • Advanced, intermediate, or beginner English level requested in application questions

🏖️ Benefits

• Opportunity to work on international projects with a highly qualified engineering team • Fast iteration and quick feedback through POC-to-MVP-to-production work • Professional development through AWS Professional/Specialty certifications based on personal interest • Opportunity to contribute to AWS Competency and Service Delivery Program • Remote work in Brazil

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