| langchain |
en |
5 |
4 |
Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equ... |
| rag |
en |
3 |
3 |
Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method |
| limitations of generative ai tools |
en |
3 |
1 |
Demonstrates an understanding of the capabilities and limitations of generative AI tools and effectively leverages them to support research, analysis, content creation, and prob... |
| openai |
en |
1 |
1 |
Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equ... |
| openai apis |
en |
1 |
1 |
Proficiency with AI/ML frameworks and tools (e.g., TensorFlow, scikit-learn, LangChain, OpenAI APIs) is a strong advantage. |
| use of recent proprietary/open-source llm apis |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| open-source llm apis |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| openai gpt-4 anthropic claude google palm |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| openai gpt-4 |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| llamaindex and langchain |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| recent proprietary/open-source llm apis |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| llm application/data frameworks |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| llm application |
en |
1 |
1 |
Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involvin... |
| llm technologies |
en |
1 |
1 |
Hands-on experience with AI/LLM technologies, including prompt engineering, grounding, RAG, AI-powered applications, and responsible AI practices |
| prompt engineering grounding rag ai-powered applications |
en |
1 |
1 |
Hands-on experience with AI/LLM technologies, including prompt engineering, grounding, RAG, AI-powered applications, and responsible AI practices |
| llm orchestration frameworks |
en |
1 |
1 |
Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent) |
| generative ai into software solutions |
en |
1 |
1 |
Skilled in adapting and integrating emerging technologies such as AI/ML, Generative AI into software solutions |
| ai/ml generative ai into software solutions |
en |
1 |
1 |
Skilled in adapting and integrating emerging technologies such as AI/ML, Generative AI into software solutions |
| experience working with generative ai |
en |
1 |
1 |
Experience working with generative AI or LLM-based solutions is highly desirable. |
| llm-based solutions is highly |
en |
1 |
1 |
Experience working with generative AI or LLM-based solutions is highly desirable. |
| generative ai |
en |
1 |
1 |
Advanced proficiency in Python and SQL, with software engineering best practices including object-oriented programming, Git, and CI/CD; experience architecting data pipelines an... |
| llm fine-tuning |
en |
1 |
1 |
Advanced proficiency in Python and SQL, with software engineering best practices including object-oriented programming, Git, and CI/CD; experience architecting data pipelines an... |
| rag vector databases |
en |
1 |
1 |
Advanced proficiency in Python and SQL, with software engineering best practices including object-oriented programming, Git, and CI/CD; experience architecting data pipelines an... |
| engineering generative ai fundamentals |
en |
1 |
1 |
Must have AWS infrastructure, Terraform, Kubernetes, CI/CD, Python/Bash, monitoring, cloud security, database, troubleshooting, communication, AI-assisted engineering, generativ... |
| generative ai fundamentals |
en |
1 |
1 |
Must have AWS infrastructure, Terraform, Kubernetes, CI/CD, Python/Bash, monitoring, cloud security, database, troubleshooting, communication, AI-assisted engineering, generativ... |
| generative ai engineering workflows |
en |
1 |
1 |
Experience in airline/transportation DevOps, AIOps, generative AI engineering workflows, AI agents, MLOps/LLMOps, Databricks, observability, Harness, microservices, serverless, ... |
| langchain autogen semantic kernel crewai |
en |
1 |
1 |
Experience coding with agentic frameworks such as LangChain, AutoGen, Semantic Kernel, CrewAI, or similar libraries to build custom multi-agent systems. |
| open-source agentic frameworks like langchain |
en |
1 |
1 |
Experience with open-source agentic frameworks like LangChain, AutoGen, Semantic Kernel, CrewAI, or similar orchestration tools. |
| owasp top for llm applications |
en |
1 |
1 |
Knowledge of AI security standards and guidance such as OWASP Top 10 for LLM Applications, NIST AI RMF, or similar guidance. |
| llm |
en |
1 |
1 |
The use of ChatGPT, any other LLM,or any other automated tool during the interview process will disqualify a candidate from being considered for the position. |
| generative ai models |
en |
1 |
1 |
Hands-on experience with generative AI models and familiarity with common use cases for Generative AI. |
| common use cases for generative ai |
en |
1 |
1 |
Hands-on experience with generative AI models and familiarity with common use cases for Generative AI. |
| 생성형 ai 등 툴 |
ko |
1 |
1 |
ㆍFigma, Notion, 생성형 AI 등 툴 사용 능통자 |
| cases for generative ai |
en |
1 |
1 |
Hands-on experience with generative AI models and familiarity with common use cases for Generative AI. |
| 생성형 ai 등 툴 사용 |
ko |
1 |
1 |
ㆍFigma, Notion, 생성형 AI 등 툴 사용 능통자 |
| llm-based systems |
en |
1 |
1 |
Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method |