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KGS Technology Group, Inc · United States

Generative AI Engineer

entry_levelfull timePosted 15 days ago
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Stack mentioned

llmragopenaianthropicgeminiagentic-aipythonlangchainllamaindexgitgithubsqlgenerative-aimachine-learningvector-databasesprompt-engineeringdeep-learning

Job Title: Generative AI Engineer

Experience: 0–5 Years

Location: United States

Employment Type: Full-Time

Job Overview

We are seeking a Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and modern Generative AI technologies. The ideal candidate should have strong programming skills, knowledge of machine learning, and experience working with AI frameworks and cloud platforms.

Key Responsibilities

- Develop and deploy Generative AI applications using LLMs and foundation models.

- Build RAG (Retrieval-Augmented Generation) applications using vector databases.

- Design effective prompts and AI workflows for business use cases.

- Work with APIs and models from platforms such as OpenAI, Anthropic, Google Gemini, or open-source models.

- Fine-tune, evaluate, and optimize AI models when required.

- Develop AI agents and automated workflows.

- Integrate Generative AI solutions with web applications and enterprise systems.

- Deploy and monitor AI applications on cloud platforms.

- Collaborate with software engineers, data scientists, and product teams.

Required Skills

- Python programming

- Generative AI and Large Language Models (LLMs)

- Prompt Engineering

- RAG and Vector Databases

- LangChain, LlamaIndex, or similar AI frameworks

- Machine Learning and Deep Learning fundamentals

- APIs and backend development

- Git/GitHub

- SQL and data handling

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