Senior Software Engineer AIML
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Revenera helps product executives build better products accelerate time to value and monetize what matters. Reveneras 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 experiencefor 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
Bachelors 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 .
Required Experience:
Senior IC
