Software/AI developer
Dayton, OH · On-site +1
Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions ... Develop AI-enabled applications using LLMs, machine learning models, and other modern AI ...
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Software/AI developer
Dayton, OH · On-site +1
Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions ... Develop AI-enabled applications using LLMs, machine learning models, and other modern AI ...
One Nationwide Plaza, Columbus OH, 43215 Work schedule: 3 days in office, 2 days remote. This role ... Experience applying AI/ML or AI-assisted workflow techniques to investment research, portfolio ...
One Nationwide Plaza, Columbus OH, 43215 Work schedule: 3 days in office, 2 days remote. This role ... Experience applying AI/ML or AI-assisted workflow techniques to investment research, portfolio ...
Remote Equine Assisted Learning information
What is remote equine assisted learning?
Remote Equine Assisted Learning is a therapeutic and educational process that uses the presence and behavior of horses to facilitate personal growth and learning, conducted virtually rather than in person. Participants engage in guided activities and discussions with a facilitator who may use live video feeds or recorded sessions with horses. This approach allows individuals to benefit from equine-assisted techniques even if they cannot physically be present with the horses. It is often used for developing emotional intelligence, leadership skills, and coping strategies. The remote format makes this unique form of learning accessible to a wider audience.
What are the key skills and qualifications needed to thrive as a remote equine assisted learning facilitator?
To thrive as a Remote Equine Assisted Learning Facilitator, you need a background in equine behavior, facilitation skills, and knowledge of experiential learning principles, often supported by relevant certifications such as EAGALA or PATH Intl. Familiarity with video conferencing platforms and online learning management systems is essential for delivering sessions remotely. Excellent communication, empathy, and adaptability are critical soft skills for building trust and engaging clients in a virtual environment. These skills ensure effective learning experiences, participant safety, and the successful achievement of client goals in a remote setting.
What are some common challenges faced by professionals in remote equine assisted learning roles, and how can they be addressed?
Professionals in Remote Equine Assisted Learning often encounter challenges related to effectively engaging clients and maintaining strong connections without in-person interaction. Building rapport and ensuring clear communication can be more complex when working remotely, especially since much of the learning depends on observing subtle cues from both clients and horses. To address these challenges, practitioners typically rely on high-quality video conferencing tools, structured session plans, and ongoing training in virtual facilitation techniques. Regular check-ins and clear feedback mechanisms also help maintain a supportive and productive remote learning environment.
What is the difference between Remote Equine Assisted Learning vs Remote Equine Therapist?
| Aspect | Remote Equine Assisted Learning | Remote Equine Therapist |
|---|---|---|
| Credentials | Training in equine-assisted activities, facilitation skills | Licensed mental health or occupational therapy credentials, certifications in equine therapy |
| Work Environment | Virtual sessions, client locations, equine facilities | Virtual therapy sessions, client homes, clinics |
| Industry Usage | Educational, personal development, team building | Therapeutic, mental health treatment, rehabilitation |
Remote Equine Assisted Learning focuses on educational and developmental activities using horses, often in a virtual or outdoor setting. In contrast, Remote Equine Therapists provide clinical mental health services with specialized therapy credentials. While both roles involve horses and remote work, their goals, credentials, and client outcomes differ significantly.
What are the most commonly searched types of Equine Assisted Learning jobs in Ohio?
The most popular types of Equine Assisted Learning jobs in Ohio are:
What are popular job titles related to Remote Equine Assisted Learning jobs in Ohio?
For Remote Equine Assisted Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Equine Assisted Learning jobs in Ohio look for?
The top searched job categories for Remote Equine Assisted Learning jobs in Ohio are:
What cities in Ohio are hiring for Remote Equine Assisted Learning jobs?
Cities in Ohio with the most Remote Equine Assisted Learning job openings:
Software/AI developer
Dayton, OH • On-site, Remote
Rackner •
IT Services • 11 - 50 employees11 - 50 employees
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 8 days ago
Job description
Software/AI developer. R&D
Location: United States
Work Model: Remote
Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions
Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance.
Build Mission-Focused Software and AI Capabilities
Rackner is seeking a Software/AI Developer. R&D to design, build, test, and demonstrate software and AI-enabled capabilities supporting government and defense missions.
This is a hands-on engineering role for someone who enjoys turning ideas and mission needs into working software. You will work alongside R&D engineers, technical leaders, and mission stakeholders to rapidly develop prototypes, backend services, APIs, data workflows, and AI-enabled applications that can be tested with real users and matured into operational capabilities.
The right person is a strong software developer who is comfortable working in an R&D environment where requirements may evolve as we learn. You should be able to take ownership of technical problems, write quality code, experiment with new approaches, and move from an early concept to a working demonstration.
The work may involve AI/ML applications, large language models (LLMs), agentic AI, backend development, APIs, data pipelines, analytics, automation, mission systems, and cloud-native software.
What You'll Build
- Design, develop, test, and maintain software for mission-focused R&D projects.
- Build backend services, APIs, integrations, and data-processing workflows.
- Develop AI-enabled applications using LLMs, machine learning models, and other modern AI technologies.
- Build and evaluate AI agents, retrieval workflows, automation tools, and other AI-assisted capabilities.
- Integrate AI models and services into usable software applications rather than treating AI as a standalone experiment.
- Develop prototypes and proofs of concept that can be demonstrated to government customers and mission users.
- Work with structured and unstructured data, including data ingestion, transformation, validation, and retrieval.
- Write clean, maintainable, testable code and participate in code reviews and technical design discussions.
- Debug software, integration, data, and model-related issues across development and testing environments.
- Collaborate with DevSecOps engineers to containerize, deploy, monitor, and improve applications in cloud and secure environments.
- Evaluate new AI models, frameworks, libraries, and development approaches for potential use in R&D projects.
- Participate in technical demos, field events, experiments, and customer feedback sessions.
- Turn feedback from technical teams and mission users into software improvements and new capabilities.
- Document technical decisions, APIs, system behavior, and development approaches so solutions can be maintained and extended.
What You'll Bring
- U.S. citizenship due to federal contract requirements.
- Ability to obtain and maintain a U.S. government security clearance.
- Strong hands-on software development experience, particularly with Python.
- Experience developing backend applications, services, APIs, or data-driven software.
- Experience building, integrating, or supporting AI/ML or generative AI applications.
- Understanding of software engineering fundamentals, including application design, testing, debugging, version control, and code review.
- Experience working with APIs, JSON, databases, and structured or semi-structured data.
- Ability to take a technical problem from concept through implementation and demonstration.
- Experience working in fast-moving environments where requirements may not be fully defined at the beginning.
- Ability to independently investigate technical problems, evaluate options, and build practical solutions.
- Strong communication and collaboration skills with engineers, technical leaders, and non-engineering stakeholders.
- Willingness to travel approximately 15% for R&D events, demos, testing, and collaboration sessions.
Helpful Experience
- Active Secret clearance or higher.
- Experience supporting DoD, Air Force, Space Force, mission command, battle management, C2, ISR, mission planning, autonomy, or other national security programs.
- Experience developing applications using LLMs, generative AI, agentic AI, retrieval-augmented generation (RAG), embeddings, vector databases, or model APIs.
- Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations.
- Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies.
- Experience with REST APIs, microservices, event-driven systems, or backend frameworks.
- Experience with SQL, NoSQL databases, data pipelines, or data-processing frameworks.
- Familiarity with AWS, Azure, or other cloud platforms.
- Experience with Docker, Kubernetes, CI/CD, Git, Terraform, Helm, or similar development and deployment technologies.
- Familiarity with MLOps, model deployment, observability, evaluation, or production AI workflows.
- Experience developing software for disconnected, classified, edge, or other constrained environments.
- Experience building prototypes, proofs of concept, technical demos, or experimental software.
- Experience working in R&D, defense technology, applied AI, or startup-like engineering environments.
What Success Looks Like
In this role, success means turning mission problems and R&D concepts into software that actually works. You will be expected to write code, build and integrate AI capabilities, test ideas quickly, and work closely with the team to determine what is worth developing further.
You do not need to be an expert in every AI framework or infrastructure technology listed above. We are looking for a strong software developer who understands how to build reliable applications, has meaningful exposure to modern AI development, and is comfortable learning new technologies as the R&D mission evolves.
Travel & Event Support
This role requires approximately 15% travel for R&D events, technical demos, collaboration sessions, and mission-focused engagements.
Travel is planned in advance whenever possible and may include customer-facing or internal engineering events.
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions.
Rackner engineers collaborate closely with technical leadership, program teams, and mission stakeholders to design, build, and improve software systems that address complex operational challenges.
Benefits & Perks
Rackner invests in its people, because when you grow, we all win.
- Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas
- Clear advancement tracks and future leadership opportunities
- 401(k) with 100% match up to 6%
- Comprehensive medical, dental, vision, life, and disability coverage
- Generous PTO and paid holidays
- Home-office equipment plan and remote work support
- Fitness and wellness reimbursement
- Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
About Rackner
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Silver Spring, MD, US
Year founded
2015