Software AI Engineer

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.

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+).

Originally posted on Himalayas