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Rag Developer Jobs (NOW HIRING)

Gatik AI

AI Operations & RAG Architect

Mountain View, CA · On-site

$170K - $220K/yr

About the role The AI Operations Engineer is responsible for building the central knowledge base ... Secure RAG Architecture: Design and maintain the vector databases and data pipelines that power ...

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI developer who can build and ...

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

... RAG systems * 1+ year experience with vector databases such as MongoDB Atlas or Pinecone ... DevOps with GitHub Actions or similar CI/CD tools. * 1+ years of writing and deploying ...

Gatik AI

AI Operations & RAG Architect

Mountain View, CA · On-site

$170K - $220K/yr

About the role The AI Operations Engineer is responsible for building the central knowledge base ... Secure RAG Architecture: Design and maintain the vector databases and data pipelines that power ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

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 or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
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Rag Developer jobs near you
Infographic showing various Rag Developer job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Senior AI/ML Engineer AI Platform & RAG Systems

Unisoft Technology Inc

Baltimore, MD

$103K - $142K/yr

Other

Posted 22 days ago

Job description

Job Summary

Seeking a Senior AI/ML Engineer with strong experience in building scalable AI platforms, retrieval-augmented generation (RAG) systems, and production-grade ML/data pipelines for enterprise environments. The ideal candidate will have deep expertise in AI/ML engineering, cloud-native architecture, data engineering, and deploying secure, scalable solutions into production.

Key Responsibilities

  • Design and build multi-tenant AI platforms, including agentic workflows, RAG services, and LLM orchestration.
  • Develop LLM-powered applications for intelligent automation, enterprise search, and knowledge retrieval.
  • Implement and optimize vector search and retrieval pipelines using OpenSearch kNN, metadata indexing, and hybrid search.
  • Build secure, event-driven ingestion pipelines integrating data lakes, streaming systems, and document processing workflows.
  • Design advanced chunking and document parsing strategies to improve retrieval relevance across multiple file types.
  • Develop LLM evaluation pipelines, golden datasets, custom evaluators, and explainable scoring mechanisms.
  • Implement feedback and human-in-the-loop systems to improve AI performance in production.
  • Establish observability for AI systems, including tracing, latency monitoring, token usage, and model performance insights.
  • Build and optimize batch and real-time data pipelines for ML and analytics workloads.
  • Implement MLOps practices for model training, deployment, versioning, and monitoring.
  • Ensure security, governance, compliance, and responsible AI controls across enterprise deployments.
  • Partner with architecture, product, and security teams to define readiness criteria and production rollout plans.

Required Qualifications

  • 10+ years of overall IT experience with strong focus on AI/ML engineering, data engineering, or platform engineering.
  • Strong hands-on programming experience in Python and SQL.
  • Proven experience building RAG systems, LLM-based applications, and AI orchestration workflows.
  • Strong knowledge of vector databases or vector search technologies such as OpenSearch kNN or similar platforms.
  • Experience building ETL/ELT and ML-ready data pipelines using Spark, PySpark, or similar big data frameworks.
  • Hands-on experience with streaming technologies such as Kafka, Kinesis, or Event Hub.
  • Experience with MLOps tools and deployment frameworks such as MLflow, Docker, Kubernetes, and CI/CD pipelines.
  • Strong experience with AWS and/or Azure cloud ecosystems.
  • Experience implementing observability, monitoring, and evaluation frameworks for AI systems.
  • Knowledge of secure enterprise architecture including RBAC, OAuth2, PII handling, and compliance controls.
  • Bachelor s or Master s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

  • Experience with enterprise AI platforms such as C3.ai, AWS AI, or Azure AI services.
  • Familiarity with agentic AI, multi-agent systems, and tool-based LLM workflows.
  • Experience with Delta Lake, Snowflake, OpenSearch, and modern cloud data platforms.
  • Exposure to regulated industries such as banking, healthcare, or financial services.
  • Experience with Terraform, ArgoCD, autoscaling frameworks, and cloud-native infrastructure.
  • Ability to translate business requirements into scalable, production-ready AI solutions.

Apply