AI Engineer - Englewood Cliffs, NJ - Onsite

Gandiva Insights
Englewood Cliffs, NJ, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Languages
Korean

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Continuous Integration Monitoring of Systems Python (Programming Language) Machine Learning Natural Language Processing Named Entity Recognition Performance Tuning
+20 more
Recommender Systems Search Technologies Sentiment Analysis Enterprise Software Applications Cloud Platform System Chatbots Retrieval-Augmented Generation Large Language Models Prompt Engineering Model Validation Generative AI Git AI Platforms Machine Learning Operations Virtual Agents Restful APIs Document Classification Natural Language Understanding Docker Microservices

Job description

We are seeking an experienced AI Engineer / AI Developer with Korean language proficiency to design, develop, and implement AI/ML and Generative AI solutions. The ideal candidate will have strong hands-on experience with Python, LLMs, RAG, NLP, Generative AI, and AI agents, along with the ability to work with Korean-language data and applications. The candidate will collaborate with product, engineering, and business teams to build intelligent AI solutions that support Korean-language understanding, generation, search, classification, and automation., * Design and develop AI/GenAI applications supporting Korean and multilingual use cases.

  • Build and optimize RAG pipelines and AI agents.
  • Integrate LLMs with enterprise applications and APIs.
  • Develop NLP solutions for Korean-language text and business content.
  • Evaluate LLM performance, accuracy, relevance, and safety for Korean-language responses.
  • Work with stakeholders to translate business requirements into AI solutions.
  • Build scalable and production-ready AI services.
  • Research emerging AI/LLM technologies and recommend appropriate solutions., Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been …
  • 5 hours ago

Requirements

  • Strong hands-on experience with Python and AI/ML development.
  • Experience with Generative AI, LLMs, NLP, and Machine Learning.
  • Experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar LLM platforms.
  • Strong knowledge of RAG (Retrieval-Augmented Generation) and vector databases.
  • Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
  • Experience developing AI Agents / Agentic AI workflows.
  • Experience with prompt engineering, embeddings, fine-tuning, and model evaluation.
  • Strong experience with REST APIs, microservices, and cloud-based AI applications.
  • Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Milvus.
  • Knowledge of NLP techniques including text classification, entity extraction, semantic search, summarization, and sentiment analysis.
  • Experience handling Korean-language datasets, Korean NLP, or Korean-language LLM applications.
  • Strong understanding of Korean language processing (Hangul) and Korean-language text/content.
  • Experience with Git, CI/CD, Docker, and cloud environments.

Korean Language Requirement

  • Fluent Korean language proficiency preferred.
  • Ability to read, write, and understand Korean.
  • Professional experience working with Korean-speaking stakeholders, Korean-language datasets, or Korean customer/product requirements.
  • Experience evaluating or improving AI/LLM responses in Korean is highly preferred.

Preferred Qualifications

  • Experience with multilingual or Korean NLP/LLM projects.
  • Experience with Korean-specific LLMs or models, such as HyperCLOVA, KoGPT, KoBERT, or similar technologies.
  • Experience with MLOps, model monitoring, and AI governance.
  • Experience deploying AI solutions on AWS, Azure, or GCP.
  • Experience in enterprise AI, conversational AI, chatbots, recommendation systems, or intelligent automation.

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