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Retrieval Augmented Generation Jobs in Washington, NJ

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI -- from large-language-model (LLM) agents and retrieval-augmented generation ...

Verizon

Principal AI Engineer

Basking Ridge, NJ · On-site

Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and semantic search * Knowledge of cloud-scale data engineering: BigQuery pipelines, GCP (Cloud Run ...

Accord Technologies Inc.

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. * Work with cloud AI services such ...

Verizon

Sr Engr Cslt-AI/ML Engineering

Basking Ridge, NJ · On-site

$107K - $147K/yr

Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases, and semantic search * Knowledge of cloud-scale data engineering: BigQuery pipelines, GCP (Cloud Run ...

ClinDCast LLC

AI Engineer

Warren, NJ · On-site

Build Retrieval-Augmented Generation (RAG) pipelines using vector databases to enhance response accuracy and contextual grounding. * Develop prompt engineering strategies and evaluation frameworks to ...

Northern Base

Product Owner

Bridgewater, NJ · On-site

Retrieval-Augmented Generation (RAG) * Prompt Engineering * AI-Powered Product Management * AI-Assisted Workflow Automation * AI-Driven Customer Service & Claims Support * Multi-Agent Workflows

TekShapers

Senior Data Scientist

Raritan, NJ · On-site

Must have experience working with any agentic framework Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes Strong software engineering skills: Python (primary), experience with ...

eTeam

AI/ML Data Architect

Basking Ridge, NJ · On-site

$65.75 - $84.50/hr

Responsibilities : • Design and implement LLM-enabled architectures, including RAG (Retrieval-Augmented Generation) solutions using structured and unstructured telecom data. • Architect and ...

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Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are popular job titles related to Retrieval Augmented Generation jobs in Washington, NJ?

For Retrieval Augmented Generation jobs in Washington, NJ, the most frequently searched job titles are:

What cities near Washington, NJ are hiring for Retrieval Augmented Generation jobs?

Cities near Washington, NJ with the most Retrieval Augmented Generation job openings:

Retrieval Augmented Generation jobs near you

Data Scientist - Intern

Concord Advice

Florham Park, NJ • On-site

$40K - $70K/yr

Full-time

Re-posted 21 days ago

Job description

Data Scientist Intern — Concord AdviceSummary

Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial organizations. We design and implement innovative technology solutions, including CRM platforms, underwriting engines, auction-based online lead bidding systems, omni-channel customer engagement strategies, payment technologies, and bank integration services.

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI — from large-language-model (LLM) agents and retrieval-augmented generation to proven NLP capabilities such as named-entity recognition, intent detection, and sentiment analysis — to create intelligent, real-time, and automated customer experiences.

As a fast-growing, entrepreneurial, and collaborative firm, Concord Advice provides an immersive, hands-on environment where innovation meets business impact. Our team thrives in a dynamic setting that rewards creativity, analytical thinking, and cross-functional collaboration. If you're a problem-solver who enjoys tackling open-ended challenges, join us in shaping the future of fintech!

Job Description

As a Data Scientist Intern at Concord Advice, you will:

  • Collaborate as a member of the analytics team, working alongside senior management and IT to design models, perform data mining, and conduct statistical research.
  • Work closely with open banking data to support loan term optimization, cashflow underwriting, and revenue improvement.
  • Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps pipeline.
  • Contribute to the development of an LLM-assisted machine learning system that classifies bank transactions, helping improve the accuracy and coverage of our existing labeling framework.
  • Support firm-wide efforts to centralize data definitions and institutional knowledge by helping build retrieval-augmented generation (RAG) workflows, MCP servers, and semantic layers.
  • Take ownership of complex, ambiguous problems in a fast-moving environment, applying a consultative mindset to break challenges down into root causes, develop structured analysis plans, and identify the data needed to drive insights.
Key Qualifications
  • BA/MS in a business-related field with a focus on machine learning.
  • Comfortable working with a range of machine learning and statistical packages in Python, along with databases and reporting tools.
  • Solid grounding in the foundational concepts behind a variety of advanced ML algorithms.
  • Familiarity with the Azure cloud platform and experience using Azure services to support data science, machine learning, analytics, and production-oriented workflows.
  • Outstanding communication skills (both technical and non-technical) and a proven ability to work effectively with multiple stakeholders across a variety of business units.
  • Self-motivated, vocal, and proactive, with demonstrated creative and critical thinking capabilities.
Good to Have
  • Working knowledge of modern AI and analytics engineering patterns, including retrieval-augmented generation (RAG), dbt, and semantic modeling.
  • Hands-on experience with NLP modeling techniques such as text classification and named-entity recognition (NER).
  • Exposure to credit underwriting or risk modeling within a lending business.
Compensation & Benefits
  • Concord Advice offers a competitive compensation package for this role, with an expected salary range of $40,000 – $70,000 USD per year, prorated based on the length of the internship. Final compensation within this range is determined by relevant experience, technical skills, education, and internship duration.

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