AI-Driven Full-Stack Engineer (Python & Go)

Programmers.io

Dallas (TX)

On-site

USD 140,000 - 180,000

Full time

2 days ago
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Job summary

Programmers.io is seeking a highly experienced Full Stack Engineer specializing in Python and Golang to design, develop, and deploy AI-driven applications. You will work on Agentic AI solutions, multi-agent architectures, and scalable backend services in collaboration with product, data science, and AI teams.

You will build RESTful APIs and microservices, implement CI/CD pipelines, ensure secure and reliable systems, and help productionize machine learning models while staying at the forefront

Qualifications

  • 10+ years of software development experience.
  • Hands-on with CrewAI and multi-agent AI frameworks.
  • Strong AI/ML knowledge and ML model experience.
  • Experience with large language models (OpenAI, Azure OpenAI, etc.).
  • Understanding of Prompt Engineering and Agentic AI patterns.
  • Experience building REST APIs and microservices.

Responsibilities

  • Design, develop, and maintain scalable full-stack applications.
  • Build and deploy Agentic AI solutions using CrewAI and LLMs.
  • Develop backend microservices and APIs in Python and Golang.
  • Integrate AI/ML models into enterprise applications.
  • Design intelligent workflows with multi-agent architectures.
  • Create and manage CI/CD pipelines for automated deployment.

Skills

CrewAI
Multi-agent AI
Python
Golang
AI/ML
LLMs
REST APIs
Microservices
Backend architecture
Distributed systems
Databases (SQL/NoSQL)
Cloud platforms (AWS/Azure/GCP)

Job description

Programmers.io is seeking a highly experienced Full Stack Engineer specializing in Python and Golang to design, develop, and deploy AI-driven applications. You will work on Agentic AI solutions, multi-agent architectures, and scalable backend services in collaboration with product, data science, and AI teams.

You will build RESTful APIs and microservices, implement CI/CD pipelines, ensure secure and reliable systems, and help productionize machine learning models while staying at the forefront

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