Agentic AI / Python Engineer

New
J
JobgetherAI software
Based in IndiaContract
Salary not disclosed
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Job Details

Required Skills
PythonRESTful APIsGenerative AI

Requirements

  • Strong hands-on experience in Python programming and software development.
  • Practical experience developing agentic AI applications, AI agents, or autonomous AI workflows.
  • Experience integrating LLMs and Generative AI capabilities into software applications.
  • Understanding of AI agent orchestration, multi-agent systems, and tool or function calling.
  • Experience designing, developing, and integrating APIs and Python-based backend services.
  • Ability to build scalable, maintainable, and reliable software solutions.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate effectively with technical teams.
  • Experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or AutoGen is preferred.
  • Familiarity with FastAPI, Flask, and RESTful API development is preferred.
  • Knowledge of RAG, embeddings, vector databases, and semantic search is preferred.
  • Familiarity with Docker, Kubernetes, and cloud deployment environments is preferred.

Responsibilities

  • Design, develop, and maintain scalable Python applications and backend services.
  • Build agentic AI solutions involving autonomous agents, intelligent workflows, and multi-agent systems.
  • Integrate LLMs and Generative AI capabilities into applications and business processes.
  • Develop agent workflows using tool calling, function calling, and external API integrations.
  • Design, implement, and maintain RESTful APIs and Python-based backend services.
  • Explore and implement RAG solutions where appropriate.
  • Collaborate with engineering teams to build and improve AI-powered applications.
  • Support the integration, testing, deployment, monitoring, and optimization of AI solutions.
  • Apply software engineering practices to make applications reliable, maintainable, scalable, and production-ready.
  • Troubleshoot and improve the performance and quality of AI-driven systems.
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