Revenera helps product executives build better products, accelerate time to value and monetize what matters. Revenera's leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on premises, cloud, and SaaS products.

We are looking for a Senior AI/ML Engineer to design and deploy generative AI and machine learning solutions across AWS, Azure, and Databricks environments. The role combines software engineering, machine learning, and cloud architecture to build production AI systems. You will collaborate with data scientists, engineers, product managers, and business stakeholders to deliver impactful AI solutions.

Key Responsibilities

Generative AI and LLM Integration

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.

RAG and Vector Search

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.

Cloud Architecture

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.

Set up observability using CloudWatch and X Ray.

Production Engineering

Create CI/CD pipelines using GitHub Actions.

Implement model testing, monitoring, versioning, and deployment strategies.

Build alerting and incident response for ML pipelines.

Required Qualifications

Education

Bachelor's degree in Computer Science, Machine Learning, Data Science, Mathematics, or related field.

Experience

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.

Technical Skills

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.

Revenera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing [HIDDEN TEXT].