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

Wyetech, LLC

Software Engineer 3

Linthicum Heights, MD · On-site

$56.25 - $75.75/hr

... RAG) systems, and automated testing pipelines. • Develop and optimize data preprocessing ... Wyetech offers quality engineering services in the fields of Software Engineering, Systems ...

Wyetech, LLC

Software Engineer 2

Linthicum Heights, MD · On-site

$95K - $130K/yr

... RAG) systems, and automated testing pipelines. • Develop and optimize data preprocessing ... Wyetech offers quality engineering services in the fields of Software Engineering, Systems ...

Leidos

Senior AI Engineer (SWE-3)

Linthicum Heights, MD · On-site

$102K - $140K/yr

The engineer will support the AI and Emerging Technologies mission by collaborating with ... RAG) systems, and automated testing pipelines. • Develop and optimize data preprocessing ...

RAKS Group LLC

Gen AI Developer

Woodlawn, MD · On-site

Proficiency in programming languages such as Python, JavaScript (Node.js, React, or Angular), or ... Understanding of fundamental AI and RAG concepts for developing generative AI applications.

Archesys Inc

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise knowledge ... Collaborate with DevOps engineers to automate deployments through CI/CD pipelines. * Ensure AI ...

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 ...

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Rag Developer information

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 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 Data Engineer with AI Platform & RAG Systems - 100% Onsite and In-Person interview in B

Unisoft Technology Inc

Baltimore, MD • On-site

$105K - $143K/yr

Other

Posted 15 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.

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