Python + AI Lead || Dallas, Texas

Dallas, TX, US • Posted 7 hours ago • Updated 19 minutes ago
Contract Independent
Contract Corp To Corp
Contract W2
6 Months
On-site
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Software Engineering
  • Machine Learning (ML)
  • Data Engineering
  • Evaluation
  • Prompt Engineering
  • RESTful
  • Git
  • Version Control
  • Workflow
  • Communication
  • Technical Communication
  • Data Science
  • LangChain
  • LlamaIndex
  • Orchestration
  • Vector Databases
  • Kubernetes
  • Streaming
  • Apache Kafka
  • Apache Spark
  • Python
  • Flask
  • Artificial Intelligence
  • Machine Learning Operations (ML Ops)
  • DevOps
  • Cloud Computing
  • Docker
  • Continuous Integration
  • Continuous Delivery
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure

Summary

Location: Dallas, TX( Onsite )

Minimum Qualifications

  • Overall Experience: 10+ years of total software engineering experience, including 5+ years of dedicated, hands-on Python development.
  • Production AI Delivery: Proven track record of delivering at least one production-grade AI/ML or LLM-powered system through its complete lifecycle.
  • AIDLC Proficiency: Practical understanding of the AI Development Life Cycle (data engineering, experimentation, evaluation, deployment, and monitoring).
  • LLM Application Stack: Deep experience in prompt engineering, Retrieval-Augmented Generation (RAG), and integrating major LLM model provider APIs.
  • Backend & Cloud: Strong foundation in designing/consuming RESTful APIs, containerization with Docker, and deploying backend systems on AWS, Google Cloud Platform, or Azure.
  • DevOps Foundation: Solid grounding in Git version control and modern CI/CD release workflows.
  • Cross-Functional Communication: Clear technical communication skills with a track record of collaborating across engineering, data science, and product teams.

Preferred Qualifications

  • Agentic Frameworks: Experience with LangChain, LangGraph, LlamaIndex, or multi-agent orchestration frameworks.
  • Vector Databases: Hands-on work with Pinecone, Weaviate, pgvector, FAISS, and embedding retrieval strategies.
  • MLOps / LLMOps: Exposure to MLflow, Weights & Biases, model registries, feature stores, and safety guardrails.
  • Infrastructure & Data: Familiarity with Kubernetes, Infrastructure-as-Code (IaC), and streaming pipelines (Kafka, Spark, Airflow).

Core Tech Stack

  • Languages & Frameworks: Python, FastAPI, Flask
  • AI/LLM Tools: RAG, Agentic Frameworks, Vector DBs, MLOps/LLMOps Tooling
  • DevOps & Cloud: Docker, CI/CD, AWS / Google Cloud Platform / Azure

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91022079
  • Position Id: 2026-51180
  • Posted 7 hours ago
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