ZipRecruiter

Log In

1

Rag Developer Jobs in Perry Hall, MD (NOW HIRING)

InstantServe LLC

GenAI Developer

Woodlawn, MD · On-site

Job Title: GenAI Developer Location: Woodlawn, MD 21207 (5 Days Onsite) Duration: 12 Months ... RAG), and production-grade Generative AI applications. Proven ability to design, develop, and ...

Sky Solutions LLC

GenAI Developer

Woodlawn, MD · On-site

Handson cloud development using Azure AI/OpenAI, AWS Bedrock, and DevOps pipelines (CI/CD, Docker ... Generative AI integration - experience with RAG, NLP, ML models, and ethical AI practices. Data ...

ARSIEM

361 - AI Engineer

Linthicum, MD · On-site

$126K - $141K/yr

Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. * Collaboratively work with systems engineers to architect and deploy ...

ARSIEM

361 - AI Engineer

Linthicum, MD

$126K - $141K/yr

Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. * Collaboratively work with systems engineers to architect and deploy ...

ARSIEM

361 - AI Engineer

Linthicum, MD · On-site

$126K - $141K/yr

Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. * Collaboratively work with systems engineers to architect and deploy ...

ARSIEM

360 - Sr. AI Engineer

Linthicum, MD · On-site

$191K - $214K/yr

Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management. * Collaboratively work with systems engineers to architect and deploy ...

next page

Showing results 1-20

All JobsRag Developer JobsRag Developer Jobs in Perry Hall, MD

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 does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

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 programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What cities near Perry Hall, MD are hiring for Rag Developer jobs? Cities near Perry Hall, MD with the most Rag Developer job openings:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Perry Hall, MD as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Senior AI/ML Engineer AI Platform & RAG Systems

Unisoft Technology Inc

Baltimore, MD • On-site

$103K - $142K/yr

Other

Re-posted 16 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.

_mdh-marylanddepartmentofhealth-marylandjobs-activity-5399168-fRtH?utm_source=share&utm_medium=member_desktop&rcm=ACoAAC4OG-wBM7M0kIVED83oiwLHyHTR21uDUPE

Apply