Cloudious
Cloudious

Python Developer / Architect with AI exp

• Posted 18 hours ago • Updated 32 minutes ago
Contract Independent
Contract W2
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Vector Databases
  • AI/ML or LLM
  • agentic frameworks and orchestration
  • MLOps/LLMOps tooling
  • Kubernetes and infrastructure-as-code.

Summary

Python Architect / Developer with AI exp

Southlake, TX (4 days work from office)

3 months CTH or FTE

Minimum Qualifications

  • 10+ 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

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: 91009966
  • Position Id: 2026-30962
  • Posted 18 hours ago
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Saravan Manohar

Recruiter @ Cloudious
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