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Retrieval Augmented Generation Rag Jobs in Dallas, TX

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...

Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt ...

We are seeking a highly skilled GenAI Engineer to design build and operationalize next generation AI solutions leveraging Large Language Models LLMs AI agents Retrieval Augmented Generation RAG ...

Retrieval-Augmented Generation (RAG) * AI Agents * Prompt Engineering * Vector Databases and Semantic Search * Azure, Cloud, or Architecture certifications preferred.

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Senior Staff AI Engineer

Frisco, TX · On-site

$98K - $135K/yr

... retrieval-augmented generation (RAG), and advanced text generation techniques. • Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and ...

... retrieval-augmented generation (RAG), and AI agent development. Nice to Have · Experience with Databricks, Snowflake, or cloud-based data platforms · Network Domain experience · Experience working ...

AI Security Architect

Plano, TX · On-site

$62.50 - $80.75/hr

This role needs hands-on experience in designing secure AI environments from the ground up, including multi-tenant AI platforms, agentic workflows, Retrieval-Augmented Generation (RAG) systems, AI ...

Data Engineer- Manager

Dallas, TX · On-site

$113K - $136K/yr

Support the development of Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

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As of Jul 2, 2026, the average hourly pay for retrieval augmented generation rag in Dallas, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $20.91 per hour, depending on experience, location, and employer.
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Asset &Wealth Management-Software Engineer-Associate-Dallas

Asset &Wealth Management-Software Engineer-Associate-Dallas

Goldman Sachs

Dallas, TX • On-site

Full-time

Posted 26 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

39th of 144 rated banks


Job description

Job Summary:
Goldman Sachs is a leading global financial services firm providing investment banking, securities and investment management services. They are seeking a highly skilled GenAI Developer to join their dynamic Private Wealth Management team, responsible for developing and implementing AI solutions to enhance client engagement and streamline business workflows.
Responsibilities:
• Work with stakeholders to understand requirements and deliver AI solutions across several domains in Wealth Management.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Conduct research and experiments to improve AI capabilities within the division.
Qualifications:
Required:
• Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.
• Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval.
• Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.
• Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).
• Programming Languages: Proficiency in Python, Java, or other relevant programming languages.
• Data Analysis: Strong analytical skills and experience with data analysis tools.
• Problem-Solving: Excellent problem-solving abilities and attention to detail.
• Communication: Strong verbal and written communication skills.
Preferred:
• Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights.
• Knowledge Graphs: Expertise in building and managing Knowledge Graphs to represent and query complex data structures.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with natural language processing (NLP) and computer vision technologies.
• Previous experience in a similar role or industry.
• Master’s or Ph.D. in Computer Science, Data Science, or a related field.
Company:
We aspire to be the world’s most exceptional financial institution, united by our shared values of partnership, client service, integrity, and excellence. Founded in 2003, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869