• Design and implement AI-enabled solutions on SAP BTP (SAP Document AI, SAP AI Foundation, Generative AI Hub, SAP BTP Integration). • Build production-ready AI use cases including intelligent document processing, RAG, and AI agents. • Integrate with OpenText Extended ECM. • Define clean-core compliant architectures using SAP BTP extensibility patterns. • Ensure enterprise-grade security, governance, and data privacy compliance.

• Collaborate with senior engineers and mentors to support the development and evaluation of AI-powered educational tools • Contribute to research-backed initiatives focused on improving AI system behavior, including identifying and measuring issues such as model bias and misalignment (e.g., sycophancy) • Assist in designing and executing experiments to evaluate AI performance in real-world learning scenarios • Translate evaluation findings into actionable insights that improve AI system quality and reliability • Support the mapping of AI evaluation work to established governance or responsible AI frameworks • Participate in code reviews, team discussions, and knowledge-sharing sessions • Take ownership of defined tasks while demonstrating initiative and creative problem-solving

Job Title: AI/ML Engineer Location: Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions. Key Responsibilities - Design, develop, and implement machine learning and deep learning models - Build and optimize model architectures including CNNs, RNNs, and transformer-based models - Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN) - Perform feature engineering and prepare high-quality datasets for training and evaluation - Create and maintain AI/ML training runbooks and documentation - Collaborate with data engineers and software teams to integrate models into production systems - Ensure reproducibility through data versioning and metadata standards - Continuously evaluate and improve model performance and scalability Required Qualifications - Strong proficiency in designing and implementing model architectures, including: - Convolutional Neural Networks (CNNs) - Recurrent Neural Networks (RNNs) - Transformer-based architectures - Large Language Models (LLMs) - Object Detection models (e.g., YOLO, Faster R-CNN) - Hands-on experience with: - PyTorch and/or TensorFlow - Hugging Face, Ollama, or similar frameworks - Experience with data engineering concepts, including: - Feature engineering and dataset preparation - Data versioning tools (e.g., lakeFS) - Metadata standards such as STAC - Ability to create clear and effective AI/ML training runbooks - Strong problem-solving skills and ability to work in a collaborative environment Preferred Qualifications - Experience deploying models in cloud-native environments - Familiarity with DevSecOps practices - Experience working with large-scale or federal datasets - Understanding of MLOps principles and pipelines Benefits & Perks - Weekly pay with full remote flexibility - Professional growth investment, including paid certifications and training - Comprehensive benefits package, including: - Medical, dental, and vision coverage - 401(k) with 100% company match up to 6% - Paid time off (PTO) - Life and disability insurance - Home office equipment plan - A supportive, inclusive team culture focused on collaboration, trust, and mission impact About Rackner Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector. We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation. Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success.

Detailed Description: - Design, develop, and integrate AI-driven features within industrial control systems and related software platforms. - Implement AI-assisted tooling and automation to improve engineering productivity, testing, diagnostics, or operator workflows. - Collaborate with software developers, hardware engineers, and product stakeholders to identify practical AI use cases aligned with operational needs. - Develop and maintain services that integrate with LLM APIs, local AI models, or intelligent automation frameworks. - Evaluate model performance, reliability, latency, and cost considerations in production environments. - Design safeguards and validation layers to ensure AI-generated outputs meet operational safety and correctness standards. - Contribute to data preparation, structured logging, and telemetry systems that support AI-enabled workflows. - Participate in architectural discussions to ensure AI components integrate cleanly within modular, service-oriented systems. - Utilize AI development tools to accelerate coding, prototyping, documentation, and research while validating all outputs for correctness and maintainability. - Participate in Agile/Scrum ceremonies including sprint planning, backlog refinement, and retrospectives. - Provide accurate estimates, surface technical risks early, and communicate trade-offs clearly. - Support troubleshooting, performance tuning, and continuous improvement of AI-enabled features. - Perform other related duties and special projects, as assigned. Job Requirements: - Demonstrated ability to design and implement production-quality software systems. - Experience integrating external APIs, services, or SDKs into software applications. - Strong understanding of software architecture, modular design, and service-oriented systems. - Working knowledge of data handling, structured formats, and secure API communication. - Ability to evaluate AI-generated output critically for accuracy, bias, safety implications, and operational risk. - Strong verbal and written communication skills, including the ability to explain AI-related technical concepts to cross-functional stakeholders. - Ability to work effectively in a cross-functional, matrixed organization including software, hardware, controls, and operations teams. - Ability to manage multiple initiatives in a fast-paced environment while maintaining quality standards. - Experience using AI-assisted development tools in a professional setting. - Represent the Company and its values with integrity while maintaining high professional and ethical standards in all interactions. Minimum Qualifications: - Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, Data Science, or related field (or equivalent practical experience). - 3–6 years of professional software development experience. - Strong proficiency in C#, C++, Python, or comparable programming languages. - Experience working within an Agile development framework. - Experience integrating AI APIs, automation tools, or intelligent systems into applications. Preferred Qualifications: - Experience working with LLM APIs, prompt engineering, embeddings, or vector databases. - Experience building internal AI tooling or workflow automation systems. - Exposure to real-time or hardware-integrated systems. - Familiarity with industrial or Oil & Gas environments. - Experience implementing monitoring, evaluation, or guardrails for AI-enabled systems. - Understanding of latency, throughput, and cost optimization considerations for AI workloads. Additional Details: The Intermediate AI Developer must work with an emphasis on individual safety and safety for others, including coworkers and third parties. Work is primarily performed in a climate-controlled office or remote environment. AI-enabled systems may support software that interfaces with physical equipment; therefore, reliability and operational awareness are essential. The employee is regularly required to sit, stand, or use computer equipment for extended periods. Salary Range: $111,800 - $132,500 CAD