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Commission Backend Developer Python Jobs in Cocoa, FL

AI Engineer

Orlando, FL

$90K - $150K/yr

... Python Developer, Software Engineer, Backend Developer Location: Orlando, FL Type: Full-time, on-site or hybrid Requirements: 3+ years Python, Node.js Innovative AI technology team is building ...

Python Developer, Software Engineer, Backend Developer Location: Orlando, FL Type: Full-time, on-site or hybrid Requirements: 3+ years Python, Node.js Innovative AI technology team is building ...

Backend Engineer Senior Location: Orlando, FL Duration: Permanent Position Description: Kforce is ... Advanced proficiency in Node.js and Python * Strong grasp of API design patterns (REST, GraphQL ...

Python Developer

Orlando, FL · Hybrid

$47 - $64.75/hr

We are seeking a Python Developer to support the development of backend services and APIs within a cloud\-native AWS environment. This contract opportunity is ideal for someone who enjoys building ...

Job Details Sr Python FullStack Developer Fulltime / Direct Hire Lake Buena Vista FL 32830 Required ... back-end applications for large and complex datasets • Experience developing user scenarios ...

This role sits at the intersection of data engineering, full-stack development, and mission ... Develop backend services and APIs using Python * Integrate structured and unstructured data sources ...

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Commission Backend Developer Python information

See Cocoa, FL salary details

$14K

$129.8K

$167.2K

How much do commission backend developer python jobs pay per year?

As of May 29, 2026, the average yearly pay for commission backend developer python in Cocoa, FL is $129,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $146,600.00 per year, depending on experience, location, and employer.

What is the difference between Commission Backend Developer Python vs Data Engineer?

AspectCommission Backend Developer PythonData Engineer
Required SkillsPython, API development, database managementPython, SQL, ETL processes, data warehousing
Work EnvironmentWeb development, fintech, e-commerceData pipelines, analytics, big data platforms
CertificationsPython certifications, cloud platform credentialsData engineering certifications, cloud certifications

Commission Backend Developer Python and Data Engineer roles share skills in Python and cloud tools but differ mainly in focus: the former emphasizes API and backend development for commissions, while the latter centers on data pipelines and analytics. Both roles are common in tech and finance industries, often requiring similar credentials, but serve distinct functions within organizations.

Infographic showing various Commission Backend Developer Python job openings in Cocoa, FL as of May 2026, with employment types broken down into 44% Full Time, 53% Part Time, and 3% Contract. Highlights an 29% Physical, 2% Hybrid, and 69% Remote job distribution, with an average salary of $129,752 per year, or $62.4 per hour.
Backend Python Developer - AI/ML

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Posted 6 days ago


Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIsAzure, LLM APIs, AI agent frameworks, LangChain, AutoGen, Semantic Kernel, cloud services, vector databases, RAG workflows

job Description : 

Role: Backend Python Developer – AI/ML

Orlando preferable, Las Vegas possible (Onsite)

Required Skills & Experience:

  • 5+ years of experience as a Python backend developer
  • Solid hands-on experience with FastAPI, Flask, or Django REST frameworks
  • Strong knowledge of RESTful APIs, microservices, and asynchronous programming
  • Hands n Experience with Azure 
  • Experience integrating LLM APIs (OpenAI, HuggingFace Inference API, etc.) into real-world applications
  • Experience with AI agent frameworks such as LangChain, AutoGen, or Semantic Kernel
  • Proven ability to deploy containerized apps using Docker, including LLM inference services and agent-based tools
  • Familiarity with vector databases and RAG workflows
  • Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines