Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity. * Architect, develop, and implement AI / ML powered cybersecurity solutions that ...
Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity. * Architect, develop, and implement AI / ML powered cybersecurity solutions that ...
Junior Agentic AI Engineer
Pittsburgh, PA · On-site
... RAG) pipelines for context-aware AI responses. • Develop scalable backend services and APIs to support AI agent operations. • Monitor agent performance, reliability, and response quality. • ...
Junior Agentic AI Engineer
Pittsburgh, PA · On-site
... RAG) pipelines for context-aware AI responses. • Develop scalable backend services and APIs to support AI agent operations. • Monitor agent performance, reliability, and response quality. • ...
Agentic AI Developer
PA · On-site
Design short-term and long-term memory systems . * (RAG, vector databases) so agents can maintain ... Implement AI guardrails, human-in-the-loop approval steps, and audit trails to ensure ethical and ...
Agentic AI Developer
PA · On-site
Design short-term and long-term memory systems . * (RAG, vector databases) so agents can maintain ... Implement AI guardrails, human-in-the-loop approval steps, and audit trails to ensure ethical and ...
Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity. * Architect, develop, and implement AI / ML powered cybersecurity solutions that ...
Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity. * Architect, develop, and implement AI / ML powered cybersecurity solutions that ...
Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity. * Architect, develop, and implement AI / ML powered cybersecurity solutions that ...
Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity. * Architect, develop, and implement AI / ML powered cybersecurity solutions that ...
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Agentic AI Engineer
Pittsburgh, PA · On-site
Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses * Develop scalable backend services and APIs to support AI agent operations * Monitor agent performance ...
Quick apply
Agentic AI Engineer
Pittsburgh, PA · On-site
Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses * Develop scalable backend services and APIs to support AI agent operations * Monitor agent performance ...
This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...
This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ...
Agentic AI Engineer
Pittsburgh, PA · On-site
$99K - $131K/yr
... RAG) pipelines for context-aware AI responses. • Develop scalable backend services and APIs to support AI agent operations. • Monitor agent performance, reliability, and response quality. • ...
Agentic AI Engineer
Pittsburgh, PA · On-site
$99K - $131K/yr
... RAG) pipelines for context-aware AI responses. • Develop scalable backend services and APIs to support AI agent operations. • Monitor agent performance, reliability, and response quality. • ...
AI Systems Engineer
Pittsburgh, PA · On-site
Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...
Quick apply
AI Systems Engineer
Pittsburgh, PA · On-site
Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...
AI Systems Engineer
Pittsburgh, PA · On-site
Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...
AI Systems Engineer
Pittsburgh, PA · On-site
Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...
AI Engineer Consultant
Pittsburgh, PA · Hybrid
We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...
AI Engineer Consultant
Pittsburgh, PA · Hybrid
We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...
AI Engineers
Pittsburgh, PA · On-site
$94K - $129K/yr
... RAG architectures, vector databases, and LLM integrations. • Knowledge of cloud platforms such as AWS, Azure, or GCP. • Familiarity with REST APIs, microservices, and enterprise application ...
AI Engineers
Pittsburgh, PA · On-site
$94K - $129K/yr
... RAG architectures, vector databases, and LLM integrations. • Knowledge of cloud platforms such as AWS, Azure, or GCP. • Familiarity with REST APIs, microservices, and enterprise application ...
Agentic AI Engineer
Pittsburgh, PA · On-site
Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses. * Develop scalable backend services and APIs to support AI agent operations. * Monitor agent performance ...
Quick apply
Agentic AI Engineer
Pittsburgh, PA · On-site
Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses. * Develop scalable backend services and APIs to support AI agent operations. * Monitor agent performance ...
Ai Rag information
See Pittsburgh, PA salary details
$31.1K - $35.6K
5% of jobs
$35.6K - $40.2K
5% of jobs
$40.2K - $44.7K
6% of jobs
$47.4K is the 25th percentile. Wages below this are outliers.
$44.7K - $49.2K
14% of jobs
$49.2K - $53.8K
11% of jobs
The median wage is $55.7K / yr.
$53.8K - $58.3K
21% of jobs
$62.3K is the 75th percentile. Wages above this are outliers.
$58.3K - $62.9K
15% of jobs
$62.9K - $67.4K
11% of jobs
$67.4K - $72K
4% of jobs
$72K - $76.5K
5% of jobs
$76.5K - $81.1K
3% of jobs
$31.1K
$56.5K
$81.1K
How much do ai rag jobs pay per year?
As of Aug 6, 2026, the average yearly pay for ai rag in Pittsburgh, PA is $56,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $63,100.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an AI researcher?
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?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
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.
What is an AI RAG?
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.
What are common challenges faced by AI RAG 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.
What are popular job titles related to Ai Rag jobs in Pittsburgh, PA? For Ai Rag jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Pittsburgh, PA look for? The top searched job categories for Ai Rag jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Ai Rag jobs? Cities near Pittsburgh, PA with the most Ai Rag job openings:
Full-time
Re-posted 10 days ago
Job description
hackajob is collaborating with BNY to connect them with exceptional professionals for this role.
We’re seeking a future team member for the role of AI-Augmented Full-Stack Engineer to join our Cyber Detection and Response Team. This role is located in Pittsburgh, PA, or Lake Mary, FL.
In this role, you’ll make an impact in the following ways:
- Champion Engineering 2.0 practices by embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovation.
- Leverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standards
- Design, develop application using LLM based AI models with RAG/Autogen and prompt engineering for Cybersecurity.
- Architect, develop, and implement AI / ML powered cybersecurity solutions that integrate with internal and third-party applications
- Analyze the model output to define, create, and maintain meaningful insights to support advanced analytics. Unlock the full potential of AI to accurate extract data, automate tasks and gain deeper insights from data
- Collaborate cross-functionally to embed RAG- enabled LLM's features into product/application.
- Lead technical workshops and knowledge-sharing sessions on AI-augmented development, machine learning integration for Cybersecurity use cases.
- Mentor and uplift team members in adopting AI-driven engineering practices, fostering a culture of continuous learning and experimentation
- Collaborate with the team and wider development community to cultivate Agile mindsets and practices, driving effective and adaptive workflows
To be successful in this role, we’re seeking the following:
- Hands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines.
- 5-6 yrs of strong hands-on experience in Python, Java programming, service-oriented architecture, REST API and Knowledge of AI/ML concepts and it’s applications.
- 1+ years demonstrated experience building LLM and GenAI tools, including LangChain, RAG, fine-tuning, Agentic AI, prompt engineering and vector databases.
- Proficient in developing Machine learning or LLM based AI solutions (RAG or Autogen)
- Proficient in scripting and SQL, Postgres for data management, vector databases for LLM Agents, strong understanding of SDLC lifecycle and managing cloud deployments of containers.
- Strong technical foundation in computer science/systems engineering, with deep hands-on expertise in UNIX/Linux, networking, performance troubleshooting, and system integration through APIs across complex environments.
- Proven ability to build scalable, resilient cloud-native solutions using modern cloud and container platforms, supported by experience in DevOps and configuration management tools such as Git, and Artifactory.
- Experience delivering high-volume, highly available enterprise applications in regulated environments
- Experience with modern CI/CD pipelines and infrastructure-as-code tooling
- Ability to communicate effectively with both technical and non-technical stakeholders
- Excellent verbal and written communication skills