
Job description
Cloudary is looking for a Software AI Engineer to design, build, and deploy intelligent solutions leveraging the AWS AI/ML ecosystem. You will work embedded in our partner's technical team, driving AI-powered initiatives from architecture to production.
Job requirements
Key Responsibilities
Design and implement AI/ML pipelines using Amazon SageMaker (training, tuning, deployment, and monitoring).
Build and integrate Generative AI solutions using Amazon Bedrock
Build data ingestion and transformation pipelines using AWS Glue, Lambda, and Step Functions.
Implement RAG (Retrieval-Augmented Generation)
Monitor and evaluate model performance using SageMaker Model Monitor and CloudWatch.
Collaborate with data engineers to manage datasets in S3 and AWS Lake Formation.
Ensure security and compliance following AWS best practices (IAM, VPC, KMS).
Must-Have Qualifications
5+ years of software engineering experience, with 2+ years focused on AI/ML.
Hands-on experience with Amazon SageMaker (end-to-end ML workflows).
Experience building applications on top of Amazon Bedrock or other LLM APIs.
Proficiency in Python (Boto3, LangChain, or similar frameworks).
Solid understanding of ML concepts: supervised/unsupervised learning, fine-tuning, embeddings, vector search.
Experience with AWS Lambda, Step Functions, and API Gateway for serverless AI workflows.
Familiarity with CI/CD for ML (MLOps) using SageMaker Pipelines or similar.
Advanced English (B2+).
- Brazil
or
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