Saransh Inc

Gen AI Data Engineer (Only W2) - NATIVE SPANISH SPEAKER

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Data Engineer (W2) in Charlotte, NC, requiring a native Spanish speaker. Contract length is unspecified, with key skills in Python, LLMs, and AI/ML development. Minimum 10 years of experience and 3+ years in AI/ML are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Transformers #NumPy #Databases #Langchain #ML (Machine Learning) #Pandas #AI (Artificial Intelligence) #Hugging Face #SpaCy #NLTK (Natural Language Toolkit) #Model Evaluation #NLP (Natural Language Processing) #Data Engineering #Python
Role description
Role: Gen AI Data Engineer Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract (W2) NOTE: This Role Requires NATIVE SPANISH SPEAKER Job Summary • Seeking an AI Engineer to support our IVR and Conversational AI platforms, with a strong focus on building LLM powered voice and chat experiences. • This role involves designing and developing prompt driven and RAG based AI solutions that enhance customer interactions across IVR channels. • The ideal candidate will have hands on experience with large language models, vector databases, and conversational AI frameworks. • As this position supports both English and Spanish customer experiences, the candidate must be a native Spanish speaker to ensure high quality prompt design, linguistic accuracy, and culturally aligned conversational flows. Experience • Overall 10 Plus years. • 3+ years of experience in AI / ML development • Strong proficiency in Python • Hands-on experience with LLMs, including: • Prompt engineering • Model evaluation • Retrieval-Augmented Generation (RAG) • Experience working in enterprise or customer-facing systems is a plus Nice To Have Skills NLP experience related to conversational AI Develop and maintain AI solutions for IVR and conversational platforms Implement LLM-based workflows including prompt engineering, evaluation, and RAG Build knowledge retrieval pipelines to support IVR use cases (FAQs, troubleshooting, account queries) Collaborate with IVR, speech, and platform teams to integrate AI models into production systems Evaluate model performance for accuracy, latency, and conversational quality Assist in continuous improvement of AI-driven voice experiences Python / ML: NumPy, Pandas, Scikit-learn LLM Frameworks: LangChain, LlamaIndex, Hugging Face Transformers Vector Databases: FAISS, Chroma, Pinecone, Qdrant NLP (Good to Have): spaCy, NLTK, Sentence-Transformers LLM Evaluation: TruLens, DeepEval, OpenAI Evals