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# AI Software Engineer

- **Company:** Vantor Inc.
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Machine Learning, SQL Databases, Web Applications, Deep Learning, Kubernetes, Machine Learning Operations, Restful APIs, Docker, Microservices
- **Published:** October 2, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2996440628-2

## About the Role

* Python
 * Machine learning
 * Deep learning frameworks (Tensor
 * Flow/Py
 * Torch)
 * Cloud platforms (AWS/Azure/GCP)
 * Data engineering (ETL, pipelines)
 * RESTful APIs and microservices
 * SQL and No
 * SQL databases
 * MLOps/CI-CD for MLContainerization (Docker/Kubernetes)
 * Distributed systems and scalability

## Description

Vantor is seeking a Senior AI Software Engineer to design and deliver modern, scalable software solutions that embed machine learning and automation. In this role, you will build data-driven services and APIs, productionize ML models, and work across the stack on cloud-native systems. You'll collaborate closely with clients and cross-functional teams in an agile environment, shaping architecture and technical direction. You'll mentor engineers, champion engineering best practices, and help deliver measurable impact through reliable, maintainable, and secure AI-powered products for a range of industries., * Design, build, and optimize AI-powered software and data products using modern languages and frameworks

 * Develop and productionize machine learning models and pipelines on cloud platforms
 * Collaborate with product managers, designers, and client stakeholders to translate requirements into technical solutions
 * Implement robust, scalable APIs and services integrating data, AI, and web applications
 * Ensure code quality through testing, code review, and documentation
 * Mentor engineers, contribute to architecture decisions, and champion engineering best practices
 * Monitor, troubleshoot, and improve performance, reliability, and security of deployed solutions
 * Contribute to agile ceremonies and continuous delivery workflows