Python Lead with AI

Ethereum Technologies LLC; Dallas (TX); On-site; USD 180,000 - 230,000; Full time

Job summary

Ethereum Technologies in Dallas, TX seeks a senior AI/ML software engineer with 10+ years of overall software experience and 5+ years in Python. You will deliver AI/LLM powered systems to production, design scalable backend services, and build RESTful APIs.

Strong collaboration across engineering, data, and product teams is essential. The role emphasizes hands-on development, AI lifecycle expertise, and proficiency with cloud platforms, containers, and orchestration tools like Kubernetes and

Qualifications

• 10+ years of overall experience in software development.
• 5+ years of professional Python development.
• Experience delivering AI/LLM powered systems to production.
• Experience with RESTful APIs and scalable backend services.
• Cloud platforms and containerization (AWS/GCP/Azure, Docker).

Responsibilities

• Lead development of AI/ML systems in production environments.
• Design scalable backend services and REST APIs.
• Collaborate with engineering, data, and product teams.

Skills

Python

AI/ML deployment

RESTful APIs

Backend development

Cloud platforms

Docker

Git & CI/CD

Communication

LangChain

Tools

Kubernetes

Docker

Git

LangChain

Job description

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

10+ Years of overall exp and 5+ years of professional software development experience, with strong, current Python expertise.

Demonstrable experience delivering at least one AI/ML or LLM-powered system to production and supporting it through its life cycle.

Practical familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, and monitoring.

Hands-on experience with LLM application development — prompt engineering, RAG, and integrating APIs such as those from major model providers.

Proficiency designing and consuming RESTful APIs and building scalable backend services.

Working knowledge with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).

Solid grounding with version control (Git) and CI/CD workflows.

Strong communication skills and the ability to work across engineering, data, and product teams.

Preferred Qualifications:

Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks).

Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval.

Exposure to MLOps/LLMOps tooling — MLflow, Weights & Biases, model registries, and feature stores.

Experience with Kubernetes and infrastructure-as-code.

Understanding of model evaluation, responsible AI, safety guardrails, and observability for LLM systems.

Background with data pipelines and streaming (e.g., Kafka, Spark, or Airflow).

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.