Python + AI Lead

Hybrid in Dallas, TX, US • Posted 6 hours ago • Updated 6 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
Able to Sponsor
Hybrid
$50 - $60/hr
Company Branding Image
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Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Apache Spark
  • Apache Kafka
  • Cloud Computing
  • Machine Learning Operations (ML Ops)
  • Orchestration
  • Machine Learning (ML)
  • Microsoft Azure
  • Workflow
  • Vector Databases
  • RESTful
  • Python
  • Kubernetes
  • LangChain
  • LlamaIndex
  • Flask
  • Git
  • Evaluation
  • Continuous Delivery
  • Google Cloud Platform
  • Prompt Engineering
  • Docker
  • Good Clinical Practice
  • Application Development
  • Streaming
  • Communication

Summary

Position: Python + AI Lead
Location: Dallas, TX (Hybrid)
Persistent Systems

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 of 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 collaborate 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
 
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: 91131106
  • Position Id: 9103166
  • Posted 6 hours ago

Company Info

About Rivago infotech inc

Rivago Infotech Inc has been a leader in IT staffing and Software development for over 5 years and is one of the largest diversity and development firms in the industry. We are known for our high-touch, customer-eccentric approach, offering our clients unmatched quality, responsiveness and flexibility . We are appreciated by our clients for our streamlined execution, highly efficient service and exceptional talent management that go above and beyond traditional staffing services.

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RA

Rajat Arora

Recruiter @ Rivago infotech inc
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