AI engineer

Ethereum Technologies

Sunnyvale (TX)

On-site

USD 180,000 - 240,000

Full time

6 hours ago
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Job summary

Ethereum Technologies is seeking a senior software/solutions engineer to lead end-to-end GenAI deployments for customers in a fast-paced setting. You will architect scalable Python-based solutions and act as a trusted advisor, guiding customers from discovery through delivery.

Expect collaboration with product, ML and engineering teams to shape the roadmap while maintaining production-grade code and reusable deployment modules across AWS/Azure/GCP.

Qualifications

  • 10+ years of software/solutions engineering experience, ideally in customer-facing roles.
  • Strong with Python, Langchain, LangGraph and SQL.
  • Proven APIs, microservices and event-driven architectures.
  • Track record designing and deploying GenAI applications into production.
  • Expertise in cloud services (AWS, GCP and/or Azure).
  • Excellent communication and ability to translate complex tech for customers.
  • Ability to manage multiple deployment tracks autonomously.

Responsibilities

  • Lead end-to-end deployment of GenAI applications for customers, from discovery to delivery.
  • Architect and implement scalable solutions using Python and modern LLM tooling.
  • Serve as trusted technical advisor, understanding needs and crafting tailored AI solutions.
  • Collaborate with product, ML and engineering teams to influence roadmap and platform capabilities.
  • Write clean, maintainable code and build reusable deployment modules.
  • Operate across AWS, Azure, GCP to ensure secure, performant infrastructure.
  • Continuously improve deployment tools and pipelines to shorten time-to-value.

Skills

Python
Langchain
LangGraph
SQL
APIs
Microservices
Event-driven
GenAI deployments
Cloud
Communication

Tools

CI/CD
Terraform
Pulumi
Docker
Kubernetes

Job description

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

  • Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery.
  • Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.
  • Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
  • Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
  • Write clean, maintainable code and build reusable modules to streamline future deployments.
  • Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
  • Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.
Required Qualifications
  • 10+ years of experience in software engineering or solutions engineering , ideally in a customer-facing capacity.
  • Proven expertise inPython,Langchain,LangGraph, andSQL.
  • Deep experience with engineering architecture, including APIs, microservices, and event-driven systems
  • Demonstrated success indesigning and deploying GenAI applicationsinto production environments
  • Strong proficiency withcloud servicessuch asAWS,GCP, and/orAzure.
  • Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.
  • Comfortable working autonomously and managing multiple deployment tracks in parallel.
Preferred Qualifications
  • Familiarity with CI/CD, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).
  • Background in LLM fine-tuning, retrieval-augmented generation (RAG), or AI /ML operations.
  • Previous experience in a startup, consulting, or fast-paced customer-obsessed environment.

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.

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