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Python + AI Lead

MAVLRA CORPORATIONDallas, TX🇺🇸United StatesPosted 1 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
23 hours ago
DockerFastAPIFlaskAWSMLOpsMLflowAirflowAzureGitGoogle CloudKafkaKubernetesLLMPython

Job Description

Position: Python + AI Lead
Location: Dallas, TX (Hybrid)
Hire Type – C2H

Minimum Qualifications

 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, Google Cloud Platform, 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).

Core Tech Stack
Python · FastAPI / Flask · LLM & Agentic frameworks · Vector databases · Docker · CI/CD · Cloud (AWS / Google Cloud Platform / Azure) · MLOps/LLMOps tooling

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