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Saransh Inc Linkedin · Posted 2mo ago

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

New Caledonia

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Indexed 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

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