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Llm Ml Rag Jobs in Silver Spring, MD (NOW HIRING)

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in ... Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG)

AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in ... RAG). • Exposure to data visualization tools (e.g., Power BI, Tableau). • Bachelor's degree in ...

AI/ML Engineer The AI/ML Engineer is responsible for designing, developing, and deploying advanced ... Build Generative AI and RAG-based LLM applications. * Develop pipelines using embeddings, vector ...

Python/GenAI Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

LLM * ML * Sagemaker Experience: 8+ years overall in Software Engineering disciplines, preferably ... Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG)

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Architect and operationalize RAG pipelines , embeddings, vector databases, and LLM-powered ...

AWS Python/GenAI Developer

Reston, VA · On-site

$52.25 - $72/hr

LLM * ML * Sagemaker Experience: 8+ years overall in Software Engineering disciplines, preferably ... Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG)

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML ...

... RAG), semantic retrieval, LLM integration, or related AI workflows. • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations. • Active/current TS/SCI with ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and ... Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered ...

... RAG), semantic retrieval, LLM integration, or related AI workflows. • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations. • Active/current TS/SCI with ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and ... Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered ...

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core ... Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered ...

Senior ML Ops Engineer

Alexandria, VA · On-site

$107.65K - $171.95K/yr

... RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and ...

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Llm Ml Rag information

See Silver Spring, MD salary details

$46.5K

$77.8K

$113.7K

How much do llm ml rag jobs pay per year?

As of May 28, 2026, the average yearly pay for llm ml rag in Silver Spring, MD is $77,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $89,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an LLM ML RAG (Retrieval-Augmented Generation) Engineer, and why are they important?

To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.

What are some typical challenges faced when working on Retrieval-Augmented Generation (RAG) systems in large language model (LLM) machine learning roles?

Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.

What are LLM ML RAG jobs?

LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.

What is the difference between Llm Ml Rag vs Data Scientist?

AspectLlm Ml RagData Scientist
Required CredentialsMaster's or PhD in ML, AI, or related fields; certifications in ML frameworksDegree in Computer Science, Statistics, or related; certifications in data analysis or ML
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting firms
Common Search & ComparisonOften compared for ML specialization and research focusCompared for data analysis, modeling, and business insights

While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.

What job categories do people searching Llm Ml Rag jobs in Silver Spring, MD look for? The top searched job categories for Llm Ml Rag jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Llm Ml Rag jobs? Cities near Silver Spring, MD with the most Llm Ml Rag job openings:
Gen AI/Python Developer

Gen AI/Python Developer

SES

Reston, VA • On-site

$52.25 - $72/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area.

Top 5 Technical Skills:

  1. Python
  2. Gen AI
  3. SQL
  4. AWS Data Services
  5. LLM
  6. ML
  7. Sagemaker
  8. Bedrock

Top 3 Soft Skills:

  1. Confidence in Communication skills for Teamwork and sharing
  2. Stand alone to get work done, Independent
  3. Flexibility

Job Description:
Experience:
10+ years overall in Software Engineering disciplines, preferably in the financial services industry
2-3 years of experience in AI engineering roles - ML experience in NTH
Strong programming skills in Python, SQL and experience with AWS.
Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL

Required Qualifications:
2 3 years of experience in data analysis or machine learning roles.
Proficiency in Python and SQL for data manipulation and analysis.
Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
Strong understanding of financial data, KPIs, and reporting standards.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience in the finance or fintech industry.
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
Exposure to data visualization tools (e.g., Power BI, Tableau).
Bachelor s degree in Computer Science, Data Science, Finance, or a related field

Jake Lutman

Technical Recruiter

Systems Engineering Services