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Salaried Rag Jobs (NOW HIRING)

Salary :$100-125K/Annum Client: TCS/BOA GEN AI Engineer Location: Charlotte, NC Must Have Technical ... Roles & Responsibilities o Implement Guardrails and observability across RAG and LLM applications o ...

AI Test Engineer

Santa Clara, CA · Hybrid

$100K - $140K/yr

Support RAG pipelines, including vector databases and hybrid search * Integrate agents with ... Motivated, curious, and excited to learn The US base salary range for this full-time position is ...

Max Salary = USD $185,000.00/Yr. Overview Lead Product Manager Location: Remote - US Work Model ... Graph RAG * Agentic Orchestration Role Essentials * 5+ years of proven experience as a Product ...

Senior AI ML Engineer

Plano, TX

$100K - $137K/yr

Proven experience with RAG architectures, embeddings, and vector databases * Experience with ... Visa/Work Permit Status: * Current Rate/Salary: * Expected Base Salary: * Notice Period ...

Senior AI ML Engineer

Cleveland, OH

$101K - $139K/yr

Proven experience with RAG architectures, embeddings, and vector databases * Experience with ... Visa/Work Permit Status: * Current Rate/Salary: * Expected Base Salary: * Notice Period ...

Senior AI ML Engineer

Mason, OH

$98K - $134K/yr

Proven experience with RAG architectures, embeddings, and vector databases * Experience with ... Visa/Work Permit Status: * Current Rate/Salary: * Expected Base Salary: * Notice Period ...

Senior AI ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Proven experience with RAG architectures, embeddings, and vector databases * Experience with ... Visa/Work Permit Status: * Current Rate/Salary: * Expected Base Salary: * Notice Period ...

The Colony, TX Salary: $170,000.00 USD Annually - $180,000.00 USD Annually Description: Title: AI ... The role focuses on GenAI strategy, RAG based architecture, automation enablement, and integration ...

AIML Engineer

Mason, OH · On-site

$95K - $165K/yr

Proven experience with RAG architectures, embeddings, and vector databases * Experience with ... Establish evaluation, reliability, and performance strategies (accuracy, latency, cost) Salary ...

AI Developer

Mclean, VA

$140K - $190K/yr

... RAG approaches * Prior consulting, agency, or client-delivery experience About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location ...

Key Responsibilities • Validate performance of RAG-based LLM models using real field escalation ... That's why we offer competitive salaries and a comprehensive benefits package designed to support ...

Key Responsibilities Validate performance of RAG-based LLM models using real field escalation ... That's why we offer competitive salaries and a comprehensive benefits package designed to support ...

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Showing results 1-20

Salaried Rag information

See salary details

$32K

$58.2K

$83.5K

How much do salaried rag jobs pay per year?

As of Jun 9, 2026, the average yearly pay for salaried rag in the United States is $58,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

More about Salaried Rag jobs
What cities are hiring for Salaried Rag jobs? Cities with the most Salaried Rag job openings:
What are the most commonly searched types of Rag jobs? The most popular types of Rag jobs are:
What states have the most Salaried Rag jobs? States with the most job openings for Salaried Rag jobs include:
Infographic showing various Salaried Rag job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $58,245 per year, or $28 per hour.

$100/hr

Full-time

Posted 9 hours ago


Job description

Salary :$100-125K/Annum
Client: TCS/BOA
GEN AI Engineer
Location: Charlotte, NC
Job Description
Must Have Technical/Functional Skills
o Bachelors or Masters degree in Data Science, Computer Science, MIS ,related field, or equivalanet experience
o 10+ yrs of experience designing and developing AI solution architecture to scale
o Proven Hands-on experience in GenAI Ops-Operationalizing LLM and RAG applications in production
o Strong hands-on experience with the Langchain framework
o Experience specifically with the Open AI API, chat completions, embeddings,etc
o Have a solid awareness on TensorRT and VLLM implementation.
o Strong proficiency in python and data Science libraries(NumPy,Pandas,scikit-learn,PyTorch/TensorFlow)
o Proven experience applying guardrails and observability to LLM or RAG-powered applications.
o Experience with LLMs as Judges and SMLs for evaluation (attribution,adherence, bias, PII, etc)
o Hands-on experience with OpenShift(or Kubernetes) for containerized AL workloads.
o Experience measuring and optimizing inference latency.
Roles & Responsibilities
o Implement Guardrails and observability across RAG and LLM applications
o Setup GenAI Ops workflows to continuously monitor inference latency, throughput, quality and safety metrics.
o Define,track,and analyze RAG guardrail metrics using LLMs as Judges and SMLs(e.g. attribution, grounding,prompt injection,tone,PII leekage)
o Implement annotation,structured feedback loops,fine-tuning, and alignment methods to calibrate judge models
o Use langchain to orchestrate guardrail checks, manage prompt versioning and integrate judge model scoring workflows.
o Work with Openshift to deploy,scale and monitor containerized genAI services.
o Build observability dashboards and alerts(Grafana or equivalent) for AI reliability.
o Contribute to emerging evaluation and guardrails as autonomous AI workflows expand.