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Remote Rag Jobs in Virginia (NOW HIRING)

Conflux Systems Inc

AI Engineer

Richmond, VA · On-site +1

$52.88/hr

Richmond, VA 1001 East Broad Street, LOC100050 Old City Hall, LOC9 Duration: 3 months Remote Need ... Develop and deploy LLM based Agentic AI and automation solutions using RAG or finetuning foundation ...

Dexian

Data/ML Ops Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Remote (EST) Summary Seeking a Data / ML Ops Engineer to support the data preparation and AI ... Key Responsibilities Prepare structured and unstructured data for RAG pipelines. Configure and ...

Enterprise Knowledge

Semantic Data and AI Engineer

Arlington, VA · On-site +1

$131.90K - $158.40K/yr

Design, implement, test, and operate end-to-end RAG workflows for client engagements, including ... While local candidates are preferred, we are also able to hire remote candidates residing in the ...

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What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.
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Remote Rag jobs near you
AI Engineer

AI Engineer

Conflux Systems Inc

Richmond, VA • On-site, Remote

$52.88/hr

Other

Posted 18 days ago

Job description

Hello,

this is Kalyanka Archana, staffing Specialist at Conflux Systems Inc. I'm trying to reach you regarding One of our direct client role.

Title: AI Engineer
Location: Richmond, VA
1001 East Broad Street, LOC100050 Old City Hall, LOC9
Duration: 3 months
Remote Need Occationsal Onsite Visit

Pay rate: $52.88/hr on W2

Job Summary:
The AI Engineer III is responsible for advanced analytics applying statistical, mathematical, and computational models to diverse datasets to solve clinical and business problems and identify breakthrough opportunities. This position performs sophisticated data analytics by designing, developing, and deploying quantitative models and other analytics tools.
Working with a multidisciplinary team of Data Engineers, Data Architects, BI Developer and operational SME s across VCU Health, the AI Engineer will work on complex business problems and provide actionable insights with the overarching goal of improving clinical and financial outcomes.

  • Job Responsibilities:
    Develop predictive models and machine learning algorithms that clinicians and staff will use to improve patient care, healthcare operations and financial performance.
    Develop and deploy LLM based Agentic AI and automation solutions using RAG or finetuning foundation models.
    Develop and deploy LLM based Agentic AI and automation solutions using RAG or finetuning foundation models.
    Develop and deploy LLM based Agentic AI and automation solutions using RAG or finetuning foundation models.
    Conduct rigorous model evaluation, including performance testing and bias assessment, to ensure the ethical and reliable deployment of AI systems.
    Mentor and guide junior members of the team sharing expertise in AI/ML techniques, model development, and deployment best practices.
    Design and implement RESTful APIs to integrate ML models or GenAI solutions with other applications and systems within the organization.

Skills:
Required Skills & Experience:


  • Eight (8) years of experience in Machine Learning or Artificial Intelligence tools and technologies.
    Five (5) years of experience in Python or R and SQL.
    Two (2) years of experience as a Full Stack Machine Learning Engineer or similar role.
    Experience working with unstructured data, NLP technologies, and big data.
    Experience working with opensource ML libraries or frameworks such as PyTorch, TensorFlow, Keras, or Numpy.
    Experience with foundation models, prompt engineering, finetuning, or RAG.
    Experience working with cloud technologies such as AWS, Azure, or Google Cloud Platform.

Preferred Skills & Experience:


  • Two (2) years of experience in a healthcare environment.
    Knowledge of data management, data warehousing, data engineering, and data governance concepts.
    Displays intellectual curiosity and integrity.
    Experience in a healthcare environment.

Education:
Required Education:
Bachelor s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline.

Preferred Education:
Master s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline.

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