Python Lead with AI

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a senior software engineer with 10+ years in software development and 5+ years in Python to deliver AI/ML or LLM-powered systems. You will design RESTful APIs, build scalable backend services, and work across engineering, data, and product teams.

Proficiency with cloud platforms and containerization is required. Ideal candidates have hands-on LLM development experience, experience with orchestration tools, and strong collaboration skills.

Qualifications

• 10+ years of overall software development experience.
• 5+ years of professional software development with Python.
• Experience delivering at least one AI/ML or LLM-powered system to production.
• Hands-on with LLM application development, prompt engineering, and API integrations.
• RESTful API design and scalable backend services.
• Cloud experience (AWS, GCP, or Azure) and Docker.
• Version control (Git) and CI/CD workflows.
• Strong cross-team communication across engineering, data, and product.

Skills

Python

AI/ML

LLM apps

REST APIs

Cloud platforms

Docker

Git

CI/CD

Communication

Data pipelines

Tools

Docker

Kubernetes

Job description

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.