Remote Python Software Engineer
Technology Consulting, Inc.·Findlay, Ohio, US·Remote Friendly
Posted 1w ago
Full-Time
Apply Now About the Role
TCI has an immediate need for a RemotePython Software Engineer (AI & Platform Engineering). Work is performed in EST. This is a long-term contract opportunity with the probability of extensions and possibility of hire. This position is not available for C2C.
NOTE: This position requires US Citizenship or Permanent Residence.
SUMMARY
The Python Software Engineer will support Generative AI, Machine Learning, and data-driven product initiatives. This role partners closely with Data Scientists, AI/ML Engineers, and MLOps to productionize models, strengthen engineering standards, and build reliable backend systems. The ideal candidate is an expert in Python, backend development, API design, cloud deployment and CI/CD automation.
REQUIREMENTS
• Support Data Scientists, AI/ML Engineers, and MLOps by improving robustness, reliability, and scalability of AI/ML applications.
• Ensure prototypes transition into production through testing, validation, and software engineering best practices.
• Build data/storage connectors (Cosmos DB, MongoDB, relational databases, vector stores, blob storage).
• Monitor and troubleshoot AI-related services in production.
• Design and build scalable backend systems using Python, OOP/OOD, and async programming.
• Implement secure authentication and authorization workflows (OAuth2, JWT, SSO, Azure AD, etc.).
• Design and maintain reliable session management mechanisms for internal and external applications.
• Integrate and optimize caching layer (Redis, in-memory caching, distributed cache) to improve performance, reduce latency, and support scalable architectures.
• Translate business and technical requirements into well-architected solutions.
• Write clear, maintainable, and well-documented code.
• Establish Git branching strategies, application versioning, and release workflows.
• Build and maintain CI/CD pipelines.
• Implement automated testing, code quality tools, and review processes.
• Support deployments using Docker (Kubernetes optional).
• Deploy and manage application in AWS or Azure.
• Implement observability (EFK/ELK, Prometheus, Weviate, Elasticsearch, OpenSearch).
REQUIREMENTS
• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field.
• 8+ years of professional experience developing backend applications in Python.
• Hands-on experience deploying application to AWS or Azure.
• Experience supporting Data Science or Machine Learning teams.
• Expert level Python development (asynico, OOP/OOD, API frameworks).
• Experience with Git, CI/CD, Docker, cloud services, monitoring/observability tools.
• Experience with NoSQL/document databases and vector databases/search technologies.
• Excellent communication skills.
• Work is performed in EST.
• Must be a US Citizen or Permanent Resident.
Remote
Skills:
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Authentication, Automation, Best Practices, Caching, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Science, Data Storage, Database Technology, Docker, Elasticsearch, Git, Identify Issues, Machine Learning, Memory Hardware, Microsoft Windows Azure, MongoDB, NoSQL, OAuth, Object Oriented Design (OOD), Object Oriented Development, Object Oriented Programming (OOP), Performance Management, Product Programs, Prototyping, Python Programming/Scripting Language, Redis, Relational Databases (RDBMS), Reliability Engineering, Scalable System Development, Search Technology, Single Sign-On (SSO), Software Administration, Software Engineering, Test Automation, United States Citizen, Validation Testing
About the Company:
Technology Consulting, Inc.
What you'll do
- The Python Software Engineer will support Generative AI, Machine Learning, and data-driven product initiatives
- This role partners closely with Data Scientists, AI/ML Engineers, and MLOps to productionize models, strengthen engineering standards, and build reliable backend systems
- Ensure prototypes transition into production through testing, validation, and software engineering best practices
- Build data/storage connectors (Cosmos DB, MongoDB, relational databases, vector stores, blob storage)
- Monitor and troubleshoot AI-related services in production
- Design and build scalable backend systems using Python, OOP/OOD, and async programming
- Design and maintain reliable session management mechanisms for internal and external applications
- Integrate and optimize caching layer (Redis, in-memory caching, distributed cache) to improve performance, reduce latency, and support scalable architectures
- Translate business and technical requirements into well-architected solutions
- Write clear, maintainable, and well-documented code
- Establish Git branching strategies, application versioning, and release workflows
- Build and maintain CI/CD pipelines
- Implement automated testing, code quality tools, and review processes
Requirements
- The ideal candidate is an expert in Python, backend development, API design, cloud deployment and CI/CD automation
- Support Data Scientists, AI/ML Engineers, and MLOps by improving robustness, reliability, and scalability of AI/ML applications
- Implement secure authentication and authorization workflows (OAuth2, JWT, SSO, Azure AD, etc.)
- Support deployments using Docker (Kubernetes optional)
- Deploy and manage application in AWS or Azure
- Implement observability (EFK/ELK, Prometheus, Weviate, Elasticsearch, OpenSearch)
- Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field
- 8+ years of professional experience developing backend applications in Python
- Hands-on experience deploying application to AWS or Azure
- Experience supporting Data Science or Machine Learning teams
- Expert level Python development (asynico, OOP/OOD, API frameworks)
- Experience with Git, CI/CD, Docker, cloud services, monitoring/observability tools
- Experience with NoSQL/document databases and vector databases/search technologies
- Excellent communication skills
- Work is performed in EST
- Must be a US Citizen or Permanent Resident
- Remote
- Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Authentication, Automation, Best Practices, Caching, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Science, Data Storage, Database Technology, Docker, Elasticsearch, Git, Identify Issues, Machine Learning, Memory Hardware, Microsoft Windows Azure, MongoDB, NoSQL, OAuth, Object Oriented Design (OOD), Object Oriented Development, Object Oriented Programming (OOP), Performance Management, Product Programs, Prototyping, Python Programming/Scripting Language, Redis, Relational Databases (RDBMS), Reliability Engineering, Scalable System Development, Search Technology, Single Sign-On (SSO), Software Administration, Software Engineering, Test Automation, United States Citizen, Validation Testing