Agentic AI Engineer

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

Job summary

Ethereum Technologies is looking for an experienced engineer to build autonomous AI agents that reason, plan, and execute complex tasks with minimal human input. You will integrate LLMs, design multi-agent workflows, and connect enterprise apps, APIs, and data sources to deliver scalable AI capabilities.

You should have 5-8 years in software/AI, strong Python skills, hands-on experience with LLM-based apps, and a track record of productionising AI prototypes. This role is on-site in San Jose, CA.

Qualifications

• Bachelor's degree in a technical field required; Master’s preferred.
• 5-8 years in software/AI or ML.
• 2+ years building LLM-based apps and AI agents.
• Strong Python programming and API integration experience.
• Experience with RAG pipelines and vector search solutions.
• Knowledge of cloud AI services and deployment environments.

Responsibilities

• Design and develop autonomous AI agents for enterprise applications.
• Build multi-agent workflows for complex tasks and decision making.
• Integrate LLMs with APIs, databases, and external tools.
• Develop RAG-based applications for contextual data retrieval.
• Implement monitoring, security controls, and logging for AI systems.

Skills

Python programming

API integration

LLM orchestration

Multi-agent system design

Prompt engineering

Security/AI safety

Documentation

Collaboration

Education

Bachelor's degree in Computer Science or related field

Master's degree in ML / Data Science

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Pinecone

Weaviate

Chroma

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

This opportunity focuses on developing autonomous AI systems capable of reasoning, planning, and executing multi-step tasks with minimal human intervention. The engineer will build intelligent AI agents, integrate Large Language Models (LLMs), and develop agent-based workflows that interact with enterprise applications, APIs, and external data sources.

Specialized Technical Skills:

Strong programming experience with Python and object-oriented development.

Hands-on experience building AI agents using LangChain and LangGraph.

Knowledge of multi-agent frameworks such as CrewAI, AutoGen, or Semantic Kernel.

Experience with Large Language Models (LLMs) such as GPT, Claude, or Llama.

Strong understanding of Retrieval-Augmented Generation (RAG) and vector databases.

Experience with prompt engineering, tool calling, and function calling.

Knowledge of agent planning, reasoning, memory, and orchestration.

Experience integrating REST APIs, enterprise systems, and external tools.

Familiarity with vector databases such as Pinecone, Weaviate, or Chroma.

Exposure to AWS Bedrock, Azure AI Foundry, or Google Vertex AI.

Design and develop autonomous AI agents for enterprise business applications.

Build multi-agent workflows for complex task execution and decision-making.

Integrate LLMs with APIs, databases, and external enterprise tools.

Develop RAG-based applications to improve contextual information retrieval.

Implement agent memory, planning, reasoning, and orchestration mechanisms.

Build evaluation frameworks to measure agent accuracy and reliability.

Optimize prompts, model responses, latency, and token consumption.

Implement monitoring, logging, and security controls for AI agent systems.

Collaborate with data scientists, software engineers, and solution architects.

Maintain technical documentation and support production deployments.

Required Professional Experience:

5-8 years of experience in software engineering, AI, or machine learning.

2+ years of hands-on experience with LLM-based application development.

Practical experience developing AI agents and multi-agent systems.

Strong Python programming and API integration experience.

Experience implementing RAG pipelines and vector search solutions.

Knowledge of cloud-based AI services and deployment environments.

Understanding of AI safety, responsible AI, and application security.

Experience taking AI prototypes into production environments.

Academic Qualifications & Industry Certifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.

Master's degree in Machine Learning, Computational Linguistics, or Data Science is an added advantage.

Certifications in AWS Generative AI, Microsoft Azure AI, or Google Cloud Generative AI are preferred.

Practical project experience with autonomous agents, LLM orchestration, and intelligent automation is highly valued.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.