1

Ai Rag Jobs in Troy, NY (NOW HIRING)

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Stay current with the evolving AI ecosystem-evaluating new models, benchmarking performance, and ...

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Stay current with the evolving AI ecosystem-evaluating new models, benchmarking performance, and ...

Software Engineer - AI

Niskayuna, NY · On-site

$145K - $242K/yr

Design RAG and agent workflows; optimize LLM integrations. * Build multi-tenant, high-availability systems with observability. * Establish AI cost management, monitoring, and security standards.

AI Software Engineer

Niskayuna, NY · On-site

$145K - $242K/yr

Design RAG and agent workflows; optimize LLM integrations. * Build multi-tenant, high-availability systems with observability. * Establish AI cost management, monitoring, and security standards.

Design RAG and agent workflows; optimize LLM integrations. * Build multi-tenant, high-availability systems with observability. * Establish AI cost management, monitoring, and security standards.

Design RAG and agent workflows; optimize LLM integrations. * Build multi-tenant, high-availability systems with observability. * Establish AI cost management, monitoring, and security standards.

Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services. * Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering ...

Cloud Engineer (Programmer)

Albany, NY · On-site

$95K - $110K/yr

Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services. * Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering ...

next page

Showing results 1-20

Ai Rag information

See Troy, NY salary details

$31.5K

$57.3K

$82.1K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Troy, NY is $57,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $63,900.00 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?

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.

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 cities near Troy, NY are hiring for Ai Rag jobs? Cities near Troy, NY with the most Ai Rag job openings:

AI Knowledge & CX Innovation Leader (City of Albany)

UKG (Ultimate Kronos Group)

Albany, NY • On-site

$165K/yr

Full-time

Posted 6 days ago


UKG rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

107th of 242 rated software companies


Job description

UKG is seeking a senior leader to drive knowledge architecture and AI-enabled CX learning. You will define taxonomy, implement AI/RAG, and own content lifecycle automation across CMS/LMS/KM systems, collaborating with engineering and business partners to deliver measurable outcomes.

You will lead integrations, governance, and experimentation, shaping scalable knowledge experiences for agents, learners, and partners.

#J-18808-Ljbffr

What UKG employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom