

Remote AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Remote AI Engineer with a contract length of "Unknown" and a pay rate of "$$$". Key skills include AI/ML expertise, Microsoft Fabric, advanced Python, SQL, and cloud technologies. A Bachelor's or Master's degree is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
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ποΈ - Date discovered
July 19, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Pawtucket, RI
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π§ - Skills detailed
#Kubernetes #SQL (Structured Query Language) #API (Application Programming Interface) #Azure #Microsoft Power BI #ADF (Azure Data Factory) #Python #Scala #Data Lake #REST (Representational State Transfer) #Docker #"ETL (Extract #Transform #Load)" #Angular #AI (Artificial Intelligence) #Langchain #Data Analysis #Databases #SharePoint #Data Integration #Transformers #Azure Data Factory #KQL (Kusto Query Language) #BI (Business Intelligence) #REST API #ML (Machine Learning) #React #FastAPI #Cloud
Role description
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Responsibilities
Kforce has a client in need of a Remote AI Engineer. Responsibilities:
β’ Design agents to connect with Microsoft Fabric Data Lake and access structured data from systems like Infor M3, Salesforce, Anaplan, Uncountable, and Freshworks
β’ Process unstructured content from SharePoint, file systems, and document repositories
β’ Build unified pipelines that merge structured and unstructured data sources
β’ Implement hybrid search using RAG with FAISS, Pinecone, Weaviate, and ChromaDB
β’ Enable natural language queries across lakehouse tables and external documents
β’ Develop AI agents using GPT-4, Claude, Gemini, LLaMA, and Cohere via LangChain, LlamaIndex, AutoGen, and CrewAI
β’ Apply model routing and fallback strategies across AI providers
β’ Deploy scalable solutions using Docker and Kubernetes
Requirements
β’ Bachelor's or Master's degree in CS, AI/ML, or related field
β’ 5+ years of experience in AI/ML with enterprise data integration
β’ 3+ years of experience with Microsoft Fabric, Azure Data Lake, or similar platforms
β’ Advanced Python (LangChain, LlamaIndex, Transformers)
β’ Strong SQL/KQL skills for data analysis
β’ Experience with vector databases (FAISS, Pinecone, Weaviate, ChromaDB)
β’ RAG system design and implementation
β’ Multi-LLM integration (OpenAI, Anthropic, Google, Cohere)
β’ Prompt engineering and AI agent orchestration
β’ Microsoft Fabric, SharePoint, and REST API integration
β’ Full-stack development (React/Angular, FastAPI/Node.js)
β’ Cloud (Azure preferred), Docker/Kubernetes, CI/CD
β’ Power BI, Azure Data Factory, and lakehouse architecture
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking βApply Todayβ you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.