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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python / AI Platform Engineer - **Company:** Innova Solutions - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Temporary contract - **Skills:** ASP.NET, .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Application Performance Management, Application Services, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Code Review, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Software Design Patterns, DevOps, Django Web Framework, Elasticsearch, Github, HP Systems Insight Manager, Python (Programming Language), Key Management, Machine Learning, Neo4j, OAuth, OpenShift, Oracle (Applications), Performance Tuning, Scrum Methodology, Standard Sql, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Strategies of Testing, Enterprise Data Management, Data Logging, Data Processing, Enterprise Software Applications, .NET Core, Azure Data Factory, ReactJS, Flask (Web Framework), Delivery Pipeline, Snowflake, Apache Spark, Generative AI, Fastapi, Microsoft Fabric, Containerization, AI Platforms, Pyspark, Kubernetes, Data Analytics, Machine Learning Operations, Restful APIs, Data Pipelines, Serverless Computing, Docker, Key Vault, Databricks, Web Api, Microservices - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/b159ee38-a994-4044-b9be-48129cd1fca6 ## About the Role * Strong experience in C#/.NET development, including .NET Core, ASP.NET, Web APIs, microservices, and enterprise application development. * Hands-on expertise in Python development with experience building scalable applications, automation solutions, and AI-powered services. * Experience productionizing and deploying Generative AI, Machine Learning, and Predictive Analytics solutions from proof-of-concept to enterprise-scale production environments. * Strong knowledge of Azure OpenAI, OpenAI APIs, LangChain, LangGraph, RAG, Embeddings, Vector Search, and AI model operationalization. * Experience building and supporting scalable REST APIs using FastAPI, Python, and .NET technologies. * Solid experience with Microsoft Azure, including cloud-native application development, deployment, and platform engineering. * Hands-on experience with Docker, Kubernetes, OpenShift, and containerized application deployment. * Strong data engineering background with experience in SQL, Oracle, ETL/ELT processes, Spark/PySpark, Data Modeling, and Data Pipeline Development. * Experience working with modern data platforms such as Microsoft Fabric, OneLake, Data Warehouses, and Lakehouse architectures. * Knowledge of Azure Data Factory, Airflow, or similar orchestration platforms for workflow automation and data pipeline management. * Experience implementing and managing CI/CD pipelines using Azure DevOps, GitHub Actions, and DevOps best practices. * Strong understanding of application monitoring, logging, alerting, and production support, including Application Insights and operational excellence practices. * Familiarity with enterprise security standards including OAuth, Key Vault, Secrets Management, PII protection, and Data Governance. * Ability to collaborate effectively with Data Scientists, Engineers, Architects, and Business Stakeholders to deliver scalable AI and data-driven solutions. * Strong analytical and problem-solving skills with experience troubleshooting complex application, platform, and data engineering challenges. * Experience working in Agile/Scrum environments with a focus on quality, scalability, security, and continuous improvement., * Software Engineering, AI/ML Engineering, Data Engineering, or related disciplines with strong expertise in .NET/C# application development and backend engineering. * Strong hands-on experience in Python development for AI/ML, data processing, automation, and platform engineering initiatives. * Experience partnering with Data Science teams to productionize Machine Learning, Generative AI, and Predictive Analytics solutions in enterprise environments. * Expertise building and integrating scalable REST APIs using Python (FastAPI) and .NET technologies. * Hands-on experience with Azure OpenAI, OpenAI APIs, LangChain, LangGraph, RAG frameworks, Vector Databases, Embeddings, and AI application deployment. * Strong understanding of cloud-native application development and deployment using Microsoft Azure, including Azure App Services, Azure Functions, Azure AI Services, Azure Data Factory, and related services. * Experience with containerization and orchestration technologies including Docker, Kubernetes, and OpenShift. * Strong data engineering background with experience building and optimizing ETL/ELT pipelines, working with SQL, Oracle, Spark/PySpark, and enterprise data platforms. * Knowledge of modern data platforms including Microsoft Fabric, OneLake, Data Warehouse, and Lakehouse architectures. * Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, and DevOps best practices. * Solid understanding of software engineering principles including design patterns, code reviews, testing strategies, monitoring, logging, performance optimization, and production support. * Experience with enterprise security practices including OAuth, Key Vault, Secrets Management, Data Governance, and PII compliance requirements. * Ability to troubleshoot and resolve complex application, platform, and data pipeline issues in production environments. * Strong communication skills with the ability to collaborate effectively with Data Scientists, Product Owners, Architects, and cross-functional engineering teams. * Experience working in Agile/Scrum environments with a focus on delivering scalable, secure, and highly available technology solutions. * Exposure to technologies such as React, Databricks, MLflow, Snowflake, Semantic Kernel, Azure AI Search, Neo4j, Elasticsearch, Flask, and Django is highly preferred. ## Description As a Senior Python / AI Platform Engineer with .Net experience Developer, you will: Day-to-Day Responsibilities, Innova Solutions is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Innova Solutions is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at hr@innovasolutions.com or (770) 493-5588. Please indicate the specifics of the assistance needed. Innova Solutions encourages all interested and qualified candidates to apply for employment opportunities. Innova Solutions (HireGenics/Volt) does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. § 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Innova Solutions and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy - innovasolutions. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [From Syntax to Singularity: AI’s Impact on Developer Roles](https://www.wearedevelopers.com/videos/900-from-syntax-to-singularity-ai-s-impact-on-developer-roles) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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