ZipRecruiter

Log In

2

Entry Level Retrieval Augmented Generation Jobs (NOW HIRING)

Virtusa Corporation

Sr. Mainframe Developer

New York, NY · On-site

$53.50 - $69/hr

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...

TheLab

AI Developer

Manhattan, NY · On-site

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Virtusa Corporation

Sr. Mainframe Developer

New York, NY · On-site

$53.50 - $69/hr

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...

Visvero, Inc.

Gen AI Architect

New York, NY

Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.

thelab

AI Developer

Manhattan, NY · On-site

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

TheLab

AI Developer

Manhattan, NY · On-site

$115K/yr

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

Noblesoft Technologies

AI Developer

San Jose, CA · Remote

Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management. * Ensure agent reliability, safety, and governance by establishing robust guardrails ...

Vkore Solutions

GenAI Engineer-W2

Austin, TX · On-site

Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...

NeuroNet Solutions Inc

Gen AI Lead

Charlotte, NC · On-site

$57.75 - $75.50/hr

Prompt Engineering RAG (Retrieval Augmented Generation) Agent-based workflows and tool usage Multi-agent architectures MCP (Model Context Protocol) servers and integrations Agentic systems including:

Apptad, Inc.

AI Architect

Hoboken, NJ · On-site

Mastery of deep learning frameworks like PyTorch or TensorFlow , large language models ( LLMs ), and retrieval-augmented generation ( RAG ) pipelines. * Cloud & Infrastructure: Experience with cloud ...

previous page

Showing results 41-60

All JobsRetrieval Augmented Generation JobsEntry Level Retrieval Augmented Generation Jobs

Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.

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

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

More about Entry Level Retrieval Augmented Generation jobs

What cities are hiring for Entry Level Retrieval Augmented Generation jobs?

Cities with the most Entry Level 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 Entry Level Retrieval Augmented Generation jobs?

States with the most job openings for Entry Level Retrieval Augmented Generation jobs include:

What job categories do people searching Entry Level Retrieval Augmented Generation jobs look for?

The top searched job categories for Entry Level Retrieval Augmented Generation jobs are:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 33% Part Time, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

AI Research Post Doctoral Fellow

Albuquerque, NM • On-site

University of New Mexico

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

129th of 623 rated colleges and universities

Great coworkers

People enjoy working here

Good employer

Learn more about University of New Mexicoexternal

$47K - $64K/yr

Full-time

Posted 16 days ago

Job description

AI Research Post Doctoral Fellow
Posting Number
req37416
Employment Type
Faculty
Faculty Type
Research
Hiring Department
Ctr Adv Research Computing Gen Adm (663B)
Academic Location
Vice President for Research
Campus
Main - Albuquerque, NM
Benefits Eligible
Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information.
Position Summary
The University of New Mexico's Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source agentic artificial intelligence platform as part of a federally funded, multi-institution research initiative. The Postdoctoral Researcher will design and build the project's agentic AI stack-open-weight large language models served at scale, retrieval-augmented generation (RAG) pipelines, a Model Context Protocol (MCP) server framework, sandboxed execution, and multi-agent orchestration-and will direct a distributed engineering effort spanning the collaborating institutions. The position is supervised by and co-located with the Principal Investigator at CARC, with secondary mentorship from collaborating co-investigators at partner institutions. All work follows open-source, reproducible-research practice.
Primary Duties and Responsibilities
  1. Leads the design, development, and evaluation of the project's agentic AI platform, including the serving of open-weight large language models (e.g., vLLM-served models), retrieval-augmented generation pipelines, the Model Context Protocol (MCP) server framework, sandboxed code execution, and multi-agent orchestration.
  2. Directs and coordinates a distributed engineering effort, leading regular technical meetings with the partner-institution team and graduate research assistants, and presenting at design reviews and project milestones.
  3. Conducts benchmarking and performance evaluation of LLM serving and agentic workflows on high-performance GPU systems (e.g., H100 / A100 / L40S) and national cloud allocations, and documents empirical hardware and performance findings.
  4. Leads and contributes to peer-reviewed, open-access publications (target of at least two first-author papers), and disseminates results through public code repositories, containerized reproducible workflows with persistent identifiers (DOIs), and FAIR data practices.
  5. Participates in security and responsible-AI review activities, including prototype security review and engagement with the project's external AI ethics advisory board.
  6. Co-teaches research-computing and data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project's education and workforce-development activities.
  7. Co-mentors graduate research assistants contributing to the agentic AI and MCP workstreams.
  8. Participates in the annual program meeting and represents the project's technical progress to collaborators, sponsor program staff, and the broader research community.
  9. Contributes to grant reporting and to the preparation of follow-on proposals, including empirical hardware-specification and benchmarking content.
  10. Performs related duties as assigned in support of the project's goals and the Fellow's professional development.

Mentoring and Professional Development
Consistent with UNM's expectations for postdoctoral training, the Fellow and mentor will jointly prepare an Individual Development Plan (IDP) within 30 days of hire, organized around the National Postdoctoral Association core competencies, with semiannual review. The Fellow will receive weekly one-on-one mentorship from the PI, structured career advising across academic, national-laboratory, and industry pathways, grant-writing experience, and visibility through the project's national partner network. The Fellow will complete UNM's Responsible Conduct of Research (RCR) training within the first six months.
Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.
Qualifications
Minimum Qualifications:
  • Ph.D. (or terminal degree) in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Computer Engineering, Computational Science, Data Science, Management Information Systems, Information Science, or a closely related field, completed by the date of appointment.
  • Demonstrated research experience in machine learning, applied artificial intelligence, distributed systems, or research software engineering, as evidenced by publications, software, or other scholarly products.
  • Programming proficiency in one or more relevant languages (e.g., Python, Rust, Go, C/C++, JavaScript/TypeScript, or R)

Preferred Qualifications:
  • Experience with large language models, including model serving (e.g., vLLM), retrieval-augmented generation, agentic/multi-agent frameworks, or the Model Context Protocol (MCP).
  • Experience developing and deploying containerized, reproducible workflows (e.g., Docker, Kubernetes/Helm) on HPC or cloud infrastructure (e.g., SLURM, OpenStack, ACCESS-CI resources).
  • Experience building APIs and services (e.g., FastAPI, OpenAI-compatible inference endpoints) and integrating authentication and orchestration tooling.
    Track record of open-source software development, code review, and FAIR/open-science practice (public repositories, DOIs, reproducible pipelines).
  • Experience leading or coordinating distributed teams, mentoring students, or teaching technical workshops.
  • A demonstrated commitment to cultivate an understanding of the rich and varied cultures of New Mexico and to the success of the university's mission to serve local and global communities

Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Please submit a CV detailing relevant experience and research as well as a cover letter discussing your unique qualifications for the position.
Applicants who are appointed to a UNM faculty position are required to provide an official certification of successful completion of all degree requirements prior to their initial employment with UNM.
For Best Consideration
For best consideration, please apply by . This position will remain open until filled.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

What University Of New Mexico employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply