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Home Based Python Game Developer Jobs in Florida

... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ... Familiarity with Linux systems including RedHat-based distributions Preferred Technical Skills ...

... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ... Familiarity with Linux systems including RedHat-based distributions Preferred Technical Skills ...

ABOUT THE ROLE We are looking for a Python Engineer to contribute hands-on to a follow-the-sun ... USD-based pay with education, fitness, and team activity budgets. - Exciting projects : Modern ...

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Home Based Python Game Developer information

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Fulltime - Python Developer - Generative AI & Cloud (Agentic AI)

Futran Tech Solutions Pvt. Ltd.

Tampa, FL • On-site

$47.50 - $65.50/hr

Full-time

Re-posted 17 days ago


Job description

Role: Python Developer - Generative AI & Cloud (Agentic AI)
Location:
Tampa, FL and Jersey City, NJ (3 Days onsite/week)
Fulltime
Job Description:
• Strong hands-on experience in Python development for AI/ML workloads
• Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
• Understanding/practical knowledge on Agentic AI frameworks
• Experience working with cloud-native AI services on GCP/AWS/Azure
• Understanding of privacy-preserving ML techniques and responsible AI practices
• Experience working with prompt engineering including tool calling and guardrails
• Familiarity with MLOps pipelines, model deployment, and monitoring
• Ability to design scalable, production-ready AI solutions
Key Responsibilities:
• Design, develop, and optimize Python-based AI/ML applications
• Build, fine-tune, and deploy Generative AI solutions using modern frameworks
• Integrate AI models with cloud platforms and managed AI services
• Develop scalable APIs and microservices supporting AI workloads
• Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions
• Implement CI/CD pipelines ensuring code quality, testing, and security
• Monitor and optimize performance, reliability, and cost of cloud AI deployments
• Ensure compliance with data privacy, security, and responsible AI guidelines