Python Lead with AI

Artificial Intelligence Technologies LLC; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Artifintech seeks a senior software engineer to build AI/ML systems in production, applying deep Python expertise to design scalable backend services and RESTful APIs powering complex products. The role requires cloud proficiency (AWS/GCP/Azure), Docker, and CI/CD, along with strong collaboration across engineering, data, and product teams.

With 10+ years of overall experience, you will lead end-to-end development from data handling to monitoring and contribute to responsible AI practices,

Qualifications

• 10+ years of overall experience, with 5+ years in professional software development.
• Strong, current Python expertise.
• Experience delivering AI/ML or LLM-powered systems to production.
• Familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, monitoring.
• Hands-on experience with LLM application development — prompt engineering, RAG, API integration.
• Proficiency designing and consuming RESTful APIs and building scalable backend services.
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Solid grounding with version control (Git) and CI/CD workflows.
• Strong communication across engineering, data, and product teams.

Skills

Python

AI/ML in production

RESTful APIs

Backend design

CI/CD practices

Cross-functional collaboration

Tools

Docker

Git

Cloud platforms (AWS/GCP/Azure)

CI/CD pipelines

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.