Senior Software Engineer – AI/ML

🕒 March 24

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Revenera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Revenera’s solutions help software and IoT companies build and deliver secure products while protecting their IP. Make a great first impression with your software – with the gold standard for Windows and multi-platform installations. Leverage the power of open source and future-proof your business by eliminating compliance and security risk. Implement flexible monetization models, become a digital leader and grow while keeping your customers front and center. For over 30 years, our 1300+ team members worldwide have been passionate about helping our more than 31,000 customers fuel business success. To learn more, visit revenera.com

📋 Description

• Design and deploy generative AI and machine learning solutions across AWS, Azure, and Databricks environments. • Collaborate with data scientists, engineers, product managers, and business stakeholders to deliver impactful AI solutions. • Build production applications using Amazon Bedrock models such as Claude, Titan, Llama, and Mistral. • Develop AI agents using Bedrock Agents, action groups, guardrails, and Prompt Flow orchestration. • Design prompt engineering strategies, evaluation frameworks, and responsible AI controls including filtering and bias detection. • Design scalable retrieval augmented generation architectures. • Implement vector search using OpenSearch Serverless and pgvector with Aurora PostgreSQL or Amazon RDS. • Develop embedding pipelines, chunking strategies, hybrid search, re ranking, and metadata filtering. • Build serverless AI systems using Lambda, API Gateway, Step Functions, and EventBridge. • Develop ML pipelines using SageMaker, Feature Store, and SageMaker Pipelines. • Design data pipelines using Glue, Athena, and Redshift. • Implement secure VPC architectures and infrastructure as code using AWS CDK or CloudFormation. • Create CI/CD pipelines using GitHub Actions. • Implement model testing, monitoring, versioning, and deployment strategies. • Build alerting and incident response for ML pipelines.

🎯 Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, Mathematics, or related field. • 5+ years in machine learning, data engineering, or software engineering. • 3+ years working with cloud platforms such as AWS, Azure, or Databricks. • 2+ years working with generative AI and large language models. • Experience deploying ML systems in production and building RAG systems with vector databases. • Strong Python and SQL skills. • Experience with PyTorch, TensorFlow, or Hugging Face. • Familiar with LangChain, LlamaIndex, or Semantic Kernel. • Experience building APIs using FastAPI, Flask, or Django. • Knowledge of Docker and CI/CD tools. • Preferred AWS Solutions Architect certification. • Experience with conversational AI, document processing, recommendation systems, NLP, computer vision, or time series.

🏖️ Benefits

• Remote work options