Python + AI Lead

Cloudious LLC; Dallas (TX); Hybride; USD 150 000 - 210 000; Plein temps

Résumé du poste

Cloudious LLC in Dallas, TX is seeking a Senior Python + AI Lead to architect and deliver production AI/ML systems. You will own the lifecycle from data handling and experimentation to deployment, monitoring, and product integration.

The ideal candidate has 10+ years of software experience, deep Python expertise, hands-on AI/LLM development, cloud and DevOps skills, and a history of shipping AI solutions at scale in hybrid environments; you’ll mentor engineers and collaborate across engineering,

Qualifications

• 10+ years of overall experience 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.
• 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 from major model providers.
• Proficiency in designing and consuming RESTful APIs and building scalable backend services.
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Solid grounding in version control (Git) and CI/CD workflows.

Connaissances

Python

AI/ML development

RESTful APIs

Cloud platforms

Docker

CI/CD

Git

Cross-functional collaboration

Outils

LangChain

Pinecone/Weaviate

MLflow

Weights & Biases

Kubernetes

Airflow

Terraform

Description du poste

Job Role: Python + AI Lead

Location: Dallas, TX (Hybrid)

Duration: 12+ Months

MINIMUM QUALIFICATIONS:

• 10+ Years of overall experience 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 in designing and consuming RESTful APIs and building scalable backend services.
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Solid grounding in 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).
• Python | FastAPI / Flask | LLM & Agentic frameworks | Vector databases | Docker | CI/CD | Cloud (AWS / GCP / Azure) | MLOps/LLMOps tooling