Gen AI Data Engineer (Only W2) NATIVE SPANISH SPEAKER
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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
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
