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Overnight Retrieval Augmented Generation Jobs in Ohio

Technical Specialist-App Development

Kettering, OH · On-site

$45 - $58.25/hr

Implement Retrieval-Augmented Generation (RAG) and Agentic AI patterns, autonomously connecting AI systems with internal enterprise data and external APIs. * Database & Storage: Architect and manage ...

AI Architect

Westerville, OH

$60.75 - $80/hr

Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.

... Retrieval-Augmented Generation (RAG) pipelines • Develop solutions for semantic search, document intelligence, and enterprise search capabilities • Optimize prompt engineering workflows and fine ...

Senior AI/ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, Azure AI Search, and enterprise knowledge repositories. * Develop and manage Agentic AI ...

New

Senior Knowledge Engineer

Columbus, OH · On-site

$100K - $138K/yr

Retrieval-Augmented Generation (RAG) architectures * LLM grounding and context design using structured knowledge * Agentic pipeline design: LangChain, LlamaIndex, AutoGen * Prompt engineering for ...

Engineer

Cleveland, OH · On-site

$90K - $150K/yr

... Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification techniques. • Integrate AI solutions with enterprise applications, ITSM tools, and business data ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Engineer

Cleveland, OH · On-site

$90K - $120K/yr

... Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification techniques. • Integrate AI solutions with enterprise applications, ITSM tools, and business data ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

$79.89 - $125.54/hr

* Entwicklung und Integration von AI-Lösungen auf Basis Microsoft Foundry und Power Plattform * Aufbau von Retrieval-Augmented-Generation-Lösungen, Document AI-Lösungen und Agentic AI-Lösungen ...

Showing results 21-40

Overnight Retrieval Augmented Generation information

What is the difference between Overnight Retrieval Augmented Generation vs Data Scientist?

AspectOvernight Retrieval Augmented GenerationData Scientist
CredentialsTypically requires knowledge of AI, NLP, and data retrieval techniquesRequires degrees in data science, statistics, or related fields
Work EnvironmentOften in AI research labs, tech companies, or startups focusing on NLP modelsIn corporate, research, or consulting settings analyzing data and building models
Industry UsagePrimarily in AI, machine learning, and NLP industriesAcross finance, healthcare, tech, and other sectors

Overnight Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, often working overnight to update or improve models. Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and AI, Retrieval Augmented Generation specialists focus on model training and NLP innovations, whereas Data Scientists handle broader data analysis and modeling tasks.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Ohio?

The most popular types of Retrieval Augmented Generation jobs in Ohio are:

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For Overnight Retrieval Augmented Generation jobs in Ohio, the most frequently searched job titles are:

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The top searched job categories for Overnight Retrieval Augmented Generation jobs in Ohio are:

What cities in Ohio are hiring for Overnight Retrieval Augmented Generation jobs?

Cities in Ohio with the most Overnight Retrieval Augmented Generation job openings:

Infographic showing various Overnight Retrieval Augmented Generation job openings in Ohio as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution.

Technical Specialist-App Development

Birlasoft

Kettering, OH • On-site

$45 - $58.25/hr

Full-time

Re-posted 17 days ago


Job description

Area(s) of responsibility
Job Title: Senior Java Backend Developer (AI & Microservices)
REMOTE
FULLTIME

Role Overview
We are seeking an experienced and innovative Senior Java Backend Engineer to design, build, and scale our enterprise applications. In this role, you will bridge the gap between traditional Java backend systems and modern Artificial Intelligence. You will lead the integration of Generative AI models, vector databases, and autonomous AI agents to drive our next-generation product features.
Key Responsibilities
  • Backend Development: Design, develop, and optimize high-throughput Spring Boot microservices and RESTful APIs ensuring high performance, scalability, and reliability.
  • AI/LLM Integration: Integrate Large Language Models (LLMs) and ML models into existing enterprise systems using Java-native AI frameworks (e.g., Spring AI, LangChain4j).
  • Agentic Workflows & Data: Implement Retrieval-Augmented Generation (RAG) and Agentic AI patterns, autonomously connecting AI systems with internal enterprise data and external APIs.
  • Database & Storage: Architect and manage optimal data solutions across relational (SQL) databases and vector databases (e.g., PostgreSQL, Pinecone, Elasticsearch) to support AI memory and context.
  • Architecture & Leadership: Participate in architectural decisions, collaborate with cross-functional teams, mentor junior developers, and enforce clean code standards.
  • AI-Augmented Workflows: Utilize modern AI coding assistants (e.g., GitHub Copilot, Cursor) to enhance coding efficiency, testing, and documentation.

Qualifications & Skills
  • Experience: 5 to 8 years of professional experience in software engineering with a strong focus on backend development.
  • Core Languages: Deep expertise in Core Java, Java 17+, and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security).
  • AI & ML Exposure: Hands-on experience integrating AI/ML models into production applications. Familiarity with Spring AI, LangChain4j, or AI platform APIs is strongly preferred.
  • Data Management: Advanced knowledge of writing SQL queries, performance tuning, and working with NoSQL or Vector databases.
  • System Design: Solid understanding of microservices architecture, message brokers (Kafka, RabbitMQ), and cloud environments (AWS, Azure, or GCP).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience)