Gen AI Engineer: LLMs, Prompting & Production

Ethereum Technologies LLC; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Ethereum Technologies is actively seeking a skilled AI/ML Engineer to design, develop, and deploy AI-driven solutions using Gen AI LLMs and agentic platforms in a fast-paced environment.

You will implement workflows with Langchain, Langgraph, and LangSmith, lead prompt engineering efforts, and perform exploratory data analysis to guide solution design. Collaboration with stakeholders will drive high-impact AI applications while keeping pace with industry advancements.

Qualifications

• Proven experience with Gen AI and large language models (LLMs).
• Hands-on experience with agentic platforms including Langchain, Langgraph, LangSmith or comparable frameworks.
• Proven prompt engineering experience for LLMs and generative AI.
• Strong skills in exploratory data analysis (EDA) with Pandas, NumPy, Matplotlib and Seaborn.
• Excellent problem-solving and communication abilities.

Responsibilities

• Design, develop and deploy AI-driven solutions utilizing Gen AI LLMs and agentic platforms.
• Implement and optimize workflows using frameworks like Langchain, Langgraph or LangSmith.
• Lead prompt engineering efforts to improve model performance and usability.
• Conduct exploratory data analysis to derive actionable insights for solution design.
• Collaborate with stakeholders to gather requirements and deliver high-impact AI applications.
• Stay current with industry trends and advancements in AI and machine learning.

Skills

Python

Gen AI/LLMs

Prompt engineering

Pandas

NumPy

Matplotlib

Seaborn

Communication

Problem solving

Tools

Langchain

Langgraph

LangSmith

Job description

Ethereum Technologies is actively seeking a skilled AI/ML Engineer to design, develop, and deploy AI-driven solutions using Gen AI LLMs and agentic platforms in a fast-paced environment.

You will implement workflows with Langchain, Langgraph, and LangSmith, lead prompt engineering efforts, and perform exploratory data analysis to guide solution design. Collaboration with stakeholders will drive high-impact AI applications while keeping pace with industry advancements.