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Ai Rag Jobs in Forney, TX (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Lead AI/ML Engineer

Dallas, TX · On-site

$94K - $124K/yr

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. * Design and implement robust system architectures for AI-driven platforms ensuring scalability ...

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ...

RealPage, Inc.

AI Engineer III

Richardson, TX · On-site +1

$55 - $73.75/hr

Reusable RAG pipelines and ingestion frameworks * Common UI components and design patterns for AI copilots and agents * Modular reusable coding practices for agentic back-end processes * Establish ...

RealPage, Inc.

AI Engineer III

Richardson, TX · On-site

$129K - $220K/yr

Reusable RAG pipelines and ingestion frameworks * Common UI components and design patterns for AI copilots and agents * Modular reusable coding practices for agentic back-end processes * Establish ...

RealPage, Inc.

AI Engineer III

Richardson, TX · On-site +1

$55 - $73.75/hr

Reusable RAG pipelines and ingestion frameworks * Common UI components and design patterns for AI copilots and agents * Modular reusable coding practices for agentic back-end processes * Establish ...

RealPage, Inc.

Lead AI Engineer

Richardson, TX · On-site +1

$98K - $129K/yr

Reusable RAG pipelines and ingestion frameworks * Common UI components and design patterns for AI copilots and agents * Modular reusable coding practices for agentic back-end processes * Establish ...

RealPage, Inc.

AI Engineer III

Richardson, TX · On-site +1

$129K - $220K/yr

Reusable RAG pipelines and ingestion frameworks * Common UI components and design patterns for AI copilots and agents * Modular reusable coding practices for agentic back-end processes * Establish ...

BIGDATAAPPTECH LLC

AI Engineer

Irving, TX · On-site

Implement Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and embedding models. Create AI extensions, custom tools, and function-calling capabilities for intelligent ...

Upbound

AI Cybersecurity Engineer

Plano, TX

AI Cybersecurity Engineer Who We Are At Upbound Group, we are committed to elevating financial ... Harden RAG pipelines against retrieval manipulation attacks, indirect prompt injection via poisoned ...

Pereview Software

AI Engineer

Dallas, TX

Ready to Apply? Pereview Software is seeking an AI Engineer to join our growing Product and ... Develop andmaintainRetrieval-Augmented Generation (RAG)architecturesusing vector databases and ...

NTT DATA North America

AI Product Manager

Dallas, TX · On-site

... RAG pipelines, prompt engineering, and validation loops • Drive integrations with observability, incident management, and deployment systems • Conduct user research and translate production ...

Upbound

AI Cybersecurity Engineer

Plano, TX

AI Cybersecurity Engineer Who We Are At Upbound Group, we are committed to elevating financial ... Harden RAG pipelines against retrieval manipulation attacks, indirect prompt injection via poisoned ...

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All JobsAi Rag JobsAi Rag Jobs in Forney, TX

Ai Rag information

See Forney, TX salary details

$28.8K

$52.5K

$75.2K

How much do ai rag jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ai rag in Forney, TX is $52,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $58,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
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Ai Rag jobs near you
AI Architect Agentic & Generative AI

AI Architect Agentic & Generative AI

Select Minds LLC

Dallas, TX • On-site

$180K - $200K/yr

Full-time

Re-posted 21 days ago

Job description

Benefits:
  • Oppurtunity for Advancement
  • Long Term
  • Competitive salary

AI Architect Agentic & Generative AI
Work Type: Full-Time, Onsite
Location: Dallas, Texas
Interview Mode: In-Person
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock
Compensation: Competitive, commensurate with experience
As AI Architect - Agentic & Generative AI, you will be responsible for defining, building, and scaling enterprise-grade agentic AI architecture on AWS. This role focuses on establishing frameworks, patterns, and guardrails that enable safe, reliable, and cost-efficient AI solutions, leveraging Amazon Bedrock (Agents, Knowledge Bases, Guardrails, Flows) and Claude models.
You will collaborate with cross-functional teams in product, engineering, data, and security to deliver next-generation AI capabilities - including retrieval-augmented generation (RAG), multi-agent orchestration, and governed AI operations - driving measurable business impact through intelligent automation and decision-making systems.
Responsibilities
  • Define and evolve the enterprise agentic AI architecture, establishing reusable frameworks and standards for RAG, tool/function calling, and multi-agent orchestration.
  • Design and implement AI solutions using Amazon Bedrock and integrate with core AWS services (Lambda, Step Functions, EventBridge, ECS/EKS, S3, Aurora, OpenSearch, DynamoDB).
  • Drive adoption of agentic AI patterns - planning, memory, and human-in-the-loop - ensuring alignment with enterprise security and compliance frameworks.
  • Guide model selection and optimization (Claude family and Bedrock models), including prompt schema design, adapters, and fine-tuning strategies.
  • Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid/vector retrieval using OpenSearch and pgvector.
  • Apply Guardrails and data-governance controls (IAM/ABAC, KMS, private networking) to ensure privacy, PII protection, and compliant operations.
  • Establish observability and reliability frameworks - including evaluation pipelines, tracing, cost metrics, fallbacks, and A/B testing.
  • Collaborate with platform and DevOps teams to enable governed AWS landing zones, CI/CD automation, and environment management for AI workloads.
  • Publish architecture blueprints, starter kits, and best-practice guides for AI engineers and developers.
  • Mentor engineering teams and contribute to hiring, training, and AI community enablement initiatives.
  • Research and assess emerging AWS and open-source agentic tools, proposing pragmatic adoption strategies.

Required Skills & Experience
  • 8+ years designing and implementing large-scale distributed or cloud systems (including 4+ years on AWS).
  • 2+ years building AI/ML or generative AI solutions in production environments.
  • Hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails) and Claude models.
  • Deep understanding of RAG design, hybrid/vector search (OpenSearch, pgvector), grounding, and citation techniques.
  • Proficiency in Python (preferred) or similar modern programming languages.
  • Solid grasp of AWS orchestration services (Lambda, Step Functions, EventBridge) and CI/CD practices.
  • Applied knowledge of AI governance, security, and observability (IAM, KMS, Guardrails, evaluation, tracing).
  • Excellent communication and architectural documentation skills.

Preferred Qualifications
  • Expertise in Agentic AI systems, including multi-agent workflows, tool/function calling, and memory architectures.
  • Experience with LangChain, LangGraph, or similar orchestration frameworks.
  • Advanced prompt design, RAG optimization, and model customization experience.
  • AWS Certifications - Solutions Architect (Professional) or Machine Learning Specialty.

Compensation: $180,000.00 - $200,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

Apply