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Nexora Labs
Enterprise AI & Engineering
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Dedicated Specialist Track

Hire Dedicated Python & AI Developers

Embed pre-vetted senior python & ai developers into your engineering sprints. Starting at $25/hour or $3,200/month (160 hours/month).

⚠️ Illustrative Starting Rates Grounding:

The rate of $25/hour ($3,200/month for 160 hours) serves as our baseline starting rate for mid-level engineers. Nexora Labs does not provide a universal fixed price for all developers; final rates reflect seniority levels and domain specialization. Nexora Labs does not guarantee that every specific senior developer is available within a fixed number of hours.

Experience Categories Available

  • Mid-Level (3-5 years)
  • Senior (5-8 years)
  • AI/ML Solutions Lead (8+ years)

Core Technology Stack

PythonFastAPIDjangoPyTorchPandasPostgreSQLRedisDockerLangChainAWS

Technical Skill Competencies

  • •Python 3.11+ Core & Asynchronous Programming (asyncio)
  • •Web Frameworks: FastAPI, Django, and Flask
  • •AI/ML Libraries: PyTorch, TensorFlow, Scikit-Learn, and Pandas
  • •LLM Frameworks: LangChain, LlamaIndex, and Hugging Face
  • •Data Pipelines & ETL: Celery, Airflow, and Apache Spark
  • •Vector Databases: Pinecone, Qdrant, and pgvector
  • •Automated Testing (pytest, hypothesis)

Typical Project Use Cases

  • Building high-performance asynchronous REST APIs with FastAPI
  • Deploying and serving custom machine learning and LLM inference models
  • Automating enterprise ETL data pipelines and scheduled scraping jobs
  • Constructing RAG semantic search pipelines with vector databases

How You Interview & Hire Our Specialists

Step 01

Objective Definition

Reviewing data structures, API requirements, machine learning models, or automation tasks.

Step 02

Profile Matching

Selecting Python developers with specific experience in web APIs, MLOps, or data engineering.

Step 03

Technical Evaluation

Coding interview covering asynchronous patterns, algorithmic efficiency, and data manipulation.

Step 04

Rapid Onboarding

Immediate access to your git repositories, cloud sandbox, and team communications.

Team Integration Model

Our Python engineers bridge the gap between experimental data science and resilient software engineering, producing clean, maintainable, containerized code ready for production.

Communication & Transparency

  • ✓Slack, Teams, or Google Workspace integration
  • ✓GitHub / GitLab pull requests with automated linting (Black, Ruff, Flake8)
  • ✓Jira or Linear sprint tracking
  • ✓Comprehensive Jupyter notebook and API documentation

Frequently Asked Questions About Hiring Python & AI Developers

Ready to Interview Python & AI Developers?

We provide curated skill matrices and schedule technical video interviews within 48 hours.

Request Developer Interview