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Rag Engineer Jobs in Springfield, OH (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · On-site +1

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning ... Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

R0242678 AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine ... Experience with LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows

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All JobsRag Engineer JobsRag Engineer Jobs in Springfield, OH

Rag Engineer information

See Springfield, OH salary details

$53.6K

$81.5K

$138.3K

How much do rag engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for rag engineer in Springfield, OH is $81,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $94,600.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What job categories do people searching Rag Engineer jobs in Springfield, OH look for? The top searched job categories for Rag Engineer jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Rag Engineer jobs? Cities near Springfield, OH with the most Rag Engineer job openings:
Rag Engineer jobs near you

Forward Deployed Engineer

Tata Consultancy Service Limited

Milford Center, OH • On-site

$120K - $160K/yr

Full-time

Posted 14 days ago

Job description

Must-Have Skills
  • Strong AI/ML engineering and software development experience
  • Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud
  • Experience building agentic AI workflows, copilots, and intelligent agents
  • Hands-on implementation of RAG systems and vector databases
  • Strong prompt engineering skills and applied analytics knowledge
  • Ability to integrate AI solutions with enterprise systems
  • Experience with middleware, orchestration layers, and API integrations
  • Knowledge of AI observability, evaluation frameworks, guardrails, and security controls
  • Strong problem-solving, debugging, and rapid prototyping ability
  • Excellent communication and stakeholder management skills
  • Ability to thrive in fast-paced, ambiguous environments with ownership mindset

Key Responsibilities
  • Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud
  • Build prototypes, POCs, and production-grade AI applications rapidly
  • Design and implement agentic workflows, RAG systems, and AI orchestration pipelines
  • Integrate LLMs with enterprise platforms and build middleware layers
  • Create intelligent copilots, multi-modal demos, and automation workflows
  • Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance
  • Implement monitoring, evaluation, and human-in-the-loop frameworks
  • Work directly with clients to gather requirements and design AI solutions
  • Lead technical discussions, discovery workshops, and solution demos
  • Act as a bridge between business stakeholders and engineering teams

Apply