> Markdown version of [/jobs/ext/2104654-artificial-intelligence-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2104654-artificial-intelligence-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence (AI) Engineer - **Company:** PROPERTY VALUE, INC. - **Location:** United States - **Contract:** Contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Application Integration Architecture, Big Data, C++ (Programming Language), Cloud Computing, Databases, Continuous Integration, Information Engineering, Data Governance, Distributed Computing Environment, Distributed Systems, Amazon DynamoDB, Elasticsearch, Fault Tolerance, Github, Apache Hadoop, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Software Architecture, Query Optimization, Tensorflow, Software Deployment, Software Engineering, SQL Databases, Data Streaming, User-Centered Design, Workflow Management Systems, Data Storage Management, Enterprise Software Applications, Pytorch, System Availability, Apache Spark, Deep Learning, Backend, Data Strategy, Cloudformation, Event Driven Architecture, Containerization, Gitlab-ci, Scikit Learn, Kubernetes, Apache Flink, HuggingFace, Production Code, Apache Kafka, Machine Learning Operations, Virtual Agents, Functional Programming, Restful APIs, Terraform, Software Version Control, Data Pipelines, Docker, Jenkins, Golang, Microservices - **Published:** August 18, 2026 - **Apply:** https://www.dice.com/job-detail/515469af-160a-4055-be03-00ba39d4ffd3 ## About the Role * Strong proficiency in Python (primary for AI/ML development) * Experience with one or more backend/system languages: Java, Go, C++, or Scala * Familiarity with SQL and working knowledge of query optimization for large datasets AI/ML Frameworks & Tools * Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face * Strong understanding of machine learning algorithms, deep learning, and data modeling techniques Enterprise Software & Architecture * Experience designing or contributing to scalable software architectures, including: * Microservices-based architecture * Distributed systems and event-driven design Experience building and consuming RESTful APIs or gRPC services Familiarity with containerization (Docker) and orchestration tools like Kubernetes Experience implementing CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.) Data Engineering & Big Data Technologies * Experience working with large-scale datasets and distributed processing frameworks such as: * Apache Spark, Hadoop, or Flink Familiarity with data streaming technologies (Kafka, Kinesis) Experience with databases: * Relational: PostgreSQL, MySQL * NoSQL: MongoDB, Elasticsearch, DynamoDB Cloud & MLOps * Hands-on experience with Amazon Web Services (AWS) (e.g., S3, EC2, Lambda, SageMaker) * Experience with MLOps tools for model deployment, monitoring, and lifecycle management * Understanding of infrastructure-as-code (Terraform, CloudFormation) is a plus Preferred Qualifications * Experience building AI-enabled systems from the ground up in enterprise environments * Familiarity with data governance, security, and compliance in large-scale systems * Experience optimizing systems for performance, scalability, and cost efficiency * Exposure to natural language processing (NLP), especially in document or report generation systems * Experience supporting intelligence, analytics, or mission-focused platforms ## Description We have an immediate need for an Artificial Intelligence (AI) Engineer to support TO-005, Report Authoring and Dissemination (RAD). This role will work closely with system and software engineers to design, prototype, and integrate AI-driven capabilities into the existing RAD architecture-while also contributing to the design of next-generation architecture built for scalability and large data processing., AI Solution Design & Development * Lead end-to-end design and development of AI/ML solutions-from concept, prototyping, and architecture design to production deployment * Write production-grade code and contribute to scalable, maintainable software systems * Design modular, extensible architectures that support AI integration within enterprise platforms Software Architecture & Engineering * Contribute to or lead the design of enterprise-grade software architecture from scratch, including microservices and distributed systems * Build backend services and APIs to support AI-driven applications and data pipelines * Ensure systems are designed for scalability, fault tolerance, and high availability * Implement best practices in software engineering, version control, CI/CD, and testing frameworks Data Engineering & Large-Scale Processing * Design and implement data pipelines to ingest, process, and analyze large structured and unstructured datasets * Perform Exploratory Data Analysis (EDA) to inform model design and data strategy * Optimize data storage and retrieval for performance and scalability Model Development & Deployment * Develop, train, evaluate, and fine-tune machine learning and deep learning models * Implement robust validation, testing, and monitoring to ensure model accuracy, fairness, and reliability * Deploy models into production environments using MLOps best practices Collaboration & Communication * Serve as a technical liaison across engineering, data, and mission stakeholders * Clearly communicate AI approaches, tradeoffs, and system design decisions to both technical and non-technical audiences Continuous Innovation * Stay current with emerging AI/ML technologies, frameworks, and enterprise data solutions * Identify opportunities to enhance system performance, automation, and intelligence capabilities ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## 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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)