Python Lead with AI

Cloud Analytics Technologies, LLC; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks an experienced software professional to contribute to AI/ML systems in production. You will apply Python expertise to design scalable backend services, build LLM-powered applications, and integrate with major model providers via RESTful APIs.

You will collaborate with engineering, data, and product teams, following the AI Development Life Cycle from data handling to deployment and monitoring. Cloud and containerization experience is essential for this role.

Qualifications

• 10+ years of overall software development experience.
• 5+ years of professional software development with strong Python expertise.
• Demonstrable experience delivering at least one AI/ML or LLM-powered system to production.
• 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 API integration with major model providers.
• Proficiency designing and consuming RESTful APIs and building scalable backend services.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Solid grounding with version control (Git) and CI/CD workflows.
• Strong cross-functional communication across engineering, data, and product teams.

Skills

Python

AI/ML systems

AIDLC

LLM development

RESTful APIs

Cloud platforms

Docker

Git/CI/CD

Communication

Tools

Docker

Kubernetes

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.

Some of our Business Ventures - Knowledge Analytics

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