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Temporary Retrieval Augmented Generation Jobs (NOW HIRING)

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

Lead I - DevOps Engineering

Bellevue, WA ยท On-site

$115K - $152K/yr

Temporary Assignment Work Type: Hybrid What You'll Do * Design and build responsive, accessible ... Familiarity with foundation models, prompt engineering, retrieval-augmented generation (RAG), and ...

Responsibilities : โ€ข Lead onboarding of business applications onto the enterprise AI platform. โ€ข Design and implement Retrieval-Augmented Generation (RAG) architectures. โ€ข Act as the primary ...

Python AI Dev

Jersey City, NJ ยท On-site

$55 - $75.75/hr

... Retrieval-Augmented Generation) implementations โ€ข LangChain, LlamaIndex, OpenAI, Azure OpenAI, Anthropic, or similar frameworks โ€ข API development using FastAPI, Flask, or Django โ€ข Strong SQL ...

New

Senior AI Engineer - Privacy

Bellevue, WA ยท On-site

$70 - $75/hr

This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations. Requirement ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

AI Engineer

Dallas, TX ยท On-site

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

AI Engineer

Dallas, TX ยท On-site

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Java Fullstack Developer

Pittsburgh, PA ยท On-site

$45 - $50/hr

Knowledge of LLMs, AI agents, and Retrieval-Augmented Generation (RAG) frameworks. Responsibilities: * Design, develop, and maintain scalable microservices using Core Java and Spring Boot. * Build ...

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Temporary Retrieval Augmented Generation information

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How much do temporary retrieval augmented generation jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for temporary retrieval augmented generation in the United States is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.28 per hour, depending on experience, location, and employer.

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

AspectTemporary Retrieval Augmented GenerationData Scientist
Required CredentialsTypically requires knowledge of AI, NLP, and some programming skillsRequires degrees in data science, statistics, or related fields, often with certifications in data analysis
Work EnvironmentOften project-based, working with AI models and large datasets in tech or research firmsUsually in corporate, research, or tech companies analyzing data to inform decisions
Industry UsageUsed in AI development, natural language processing, and machine learning projectsApplied across industries for data analysis, predictive modeling, and business insights

Temporary Retrieval Augmented Generation focuses on enhancing AI models with retrieval techniques, while Data Scientists analyze data to generate insights. Both roles require technical skills but serve different purposes within the tech and data ecosystem.

What is the meaning of temporary away?

In the context of a Temporary Retrieval Augmented Generation role, 'temporary away' typically refers to a temporary leave or absence from work, such as for personal reasons, illness, or other commitments. It usually indicates a short-term break during employment, with expectations for the employee to return after the specified period.

What is the meaning of temporary?

In the context of a Temporary Retrieval Augmented Generation role, 'temporary' refers to a position that is limited in duration, often lasting from a few weeks to several months. Such roles typically do not offer permanent employment benefits and may require specific skills like data retrieval or AI model integration within a set timeframe.

What is a word for temporary?

A common word for temporary is 'short-term' or 'transient.' In the context of a Temporary Retrieval Augmented Generation role, such positions are often project-based or seasonal, requiring flexibility and quick adaptation. These roles typically last from a few days to several months depending on the project's scope.
More about Temporary Retrieval Augmented Generation jobs
What cities are hiring for Temporary Retrieval Augmented Generation jobs? Cities with the most Temporary Retrieval Augmented Generation job openings:
What are the most commonly searched types of Retrieval Augmented Generation jobs? The most popular types of Retrieval Augmented Generation jobs are:
What states have the most Temporary Retrieval Augmented Generation jobs? States with the most job openings for Temporary Retrieval Augmented Generation jobs include:
Infographic showing various Temporary Retrieval Augmented Generation job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 9% Full Time, 73% Part Time, 5% Temporary, and 11% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $43,381 per year, or $20.9 per hour.
Python Software Developer (Python AWS, RAG) / on W2

Python Software Developer (Python AWS, RAG) / on W2

Noblesoft Solutions Inc.

Saint Petersburg, FL โ€ข Hybrid

$47.50 - $65.50/hr

Other

Posted 22 days ago


Job description

Position:ย Python Software Developer (Python AWS, RAG)
Contract Duration: Long Term
Location:ย St. Petersburg, FL (Hybrid, 3 days onsite)
Only Locals candidates

Job Description
We are seeking a talented and passionate Python Developer to join our team and contribute to the development and implementation of innovative Retrieval-Augmented Generation (RAG) systems. You will play a crucial role in designing, building, and maintaining applications that leverage the power of large language models (LLMs) and advanced retrieval techniques to create cutting-edge AI solutions.

Skills:

Strong Python programming skills:
Demonstrated proficiency in Python programming, including experience with relevant libraries and frameworks (e.g., FastAPI, Flask, Pandas, NumPy).
Experience with LLMs and RAG systems:
Familiarity with large language models and retrieval-augmented generation techniques, including experience with LLM APIs and retrieval systems.

Experience with data retrieval and indexing:
Experience with data retrieval from various sources (e.g., databases, APIs, file systems) and building and managing retrieval indices.

Knowledge of data structures and algorithms:
Understanding of fundamental data structures and algorithms relevant to building efficient and scalable RAG applications.

Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure):
Familiarity with cloud computing platforms and their services for deploying and scaling RAG applications.

Strong problem-solving and analytical skills:
Ability to identify, analyze, and solve complex problems related to data retrieval, LLM integration, and RAG system optimization.

Bonus Points:
Experience with specific LLM frameworks (e.g., LangChain, Hugging Face Transformers).
Familiarity with search engines and information retrieval techniques.
Experience with machine learning and deep learning concepts.
Experience with building and deploying production-ready applications.
Contribution to open-source projects related to RAG or LLMs.

Education:
Bachelor''''''''s degree in Computer Science, Software Engineering, or related technical field required
Master''''''''s degree in Computer Science, AI/ML, or related field preferred
Relevant professional certifications in Python, cloud platforms, or AI/ML technologies are a plus

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