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Summer Retrieval Augmented Generation Jobs (NOW HIRING)

TekShapers

Gen AI Architect

Raritan, NJ · On-site

Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise data sources. * Collaborate with business stakeholders, product teams, and engineering ...

New

CYNET SYSTEMS

Senior AI Engineer - Privacy

Bellevue, WA · 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 ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

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:

Pereview Software

AI Engineer

Dallas, TX · 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 ...

Diverse Lynx

Cloud AI Engineer

Richardson, TX · On-site

$50 - $65/hr

Design and implement Generative AI solutions using modern AI patterns such as Retrieval-Augmented Generation (RAG) . * Develop backend APIs using Python to support AI-driven applications. * Build and ...

Pereview Software

AI Engineer

Dallas, TX

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

CYNET SYSTEMS

Java Fullstack Developer

Pittsburgh, PA · 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 ...

United IT

Python Developer with Fast API

Irving, TX · On-site

$48.25 - $66.50/hr

Design, develop, and maintain robust and scalable backend systems, incorporating AI/ML capabilities (e.g., Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control ...

Redolent, Inc.

Sr, ML Architect

Washington, DC · On-site

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 ...

Pereview Software

AI Engineer

Dallas, TX · 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 ...

CGI

GenAI Context Engineer

Pittsburgh, PA · On-site

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. . Build and optimize semantic retrieval pipelines, vector search ...

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All JobsSummer Retrieval Augmented Generation Jobs

Summer Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Retrieval Augmented Generation (RAG) Engineer, and why are they important?

To thrive as a Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, typically supported by a degree in computer science or a related field. Proficiency with frameworks like PyTorch or TensorFlow, experience with vector databases (e.g., FAISS, Pinecone), and familiarity with LLM APIs are commonly required. Creative problem-solving, strong communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies ensure effective development, deployment, and optimization of advanced AI systems that integrate retrieval and generative capabilities.

What is a Summer Retrieval Augmented Generation role?

A Summer Retrieval Augmented Generation (RAG) role typically refers to a summer position focused on developing or improving retrieval-augmented generation systems, which are AI models that combine information retrieval with generative capabilities. In this role, you might work on integrating search algorithms with large language models, enabling systems to fetch relevant information from external sources and generate accurate, context-aware responses. These positions are often found in research labs, tech companies, or startups working on advanced AI applications, and are ideal for students or early-career professionals interested in machine learning, natural language processing, and AI research.

What are some common challenges faced when working on Retrieval-Augmented Generation (RAG) projects during a summer internship?

During a summer internship focused on Retrieval-Augmented Generation (RAG), interns often encounter challenges such as integrating retrieval systems with generative models, managing large-scale datasets, and optimizing latency for real-time responses. Collaboration with cross-functional teams—including data engineers, research scientists, and product managers—is essential for aligning project goals and troubleshooting implementation issues. Additionally, interns may need to balance exploratory research with delivering usable prototypes within tight timeframes, which helps develop both technical and project management skills.
What cities are hiring for Summer Retrieval Augmented Generation jobs? Cities with the most Summer 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 Summer Retrieval Augmented Generation jobs? States with the most job openings for Summer Retrieval Augmented Generation jobs include:
Summer Retrieval Augmented Generation jobs near you
Gen AI Architect

Gen AI Architect

TekShapers

Raritan, NJ • On-site

Other

Posted 2 days ago

Job description

Role : Gen AI Architect

Location : Raritan, NJ

Type : Full-Time

Required Experience:

  • Hands-on Gen AI Architect, hybrid work 3-4 days in Raritan, NJ.
  • Must have implemented Gen AI solutions in production, not just POCs.

Key Responsibilities

  • Design, architect, and implement scalable enterprise Generative AI solutions.
  • Build and deploy production-grade Gen AI applications using modern LLM frameworks and cloud technologies.
  • Develop and showcase innovative Gen AI Proofs of Concept (POCs) that address business challenges.
  • Design and implement Agentic AI systems, including autonomous workflows, planning, reasoning, memory, and tool orchestration.
  • Develop robust Python-based AI applications and services with production-quality code.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise data sources.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate requirements into AI solutions.
  • Evaluate foundation models and recommend the appropriate architecture based on use cases.
  • Optimize AI solutions for scalability, security, latency, and cost.
  • Mentor engineering teams on Gen AI best practices, architecture patterns, and implementation strategies.

Required Technical Skills

  • Python
  • Large Language Models (OpenAI, Anthropic, Llama, Gemini, etc.)
  • LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks
  • Agentic AI frameworks and autonomous AI systems
  • Retrieval-Augmented Generation (RAG)
  • Vector databases (Pinecone, Weaviate, Chroma, Milvus, FAISS, etc.)
  • Prompt Engineering
  • AI orchestration and workflow automation
  • REST APIs and microservices
  • Git, CI/CD, Docker, Kubernetes
  • Cloud platforms (AWS, Azure, or Google Cloud)

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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