What are the responsibilities and job description for the Agentic AI Engineer - (Strong Python) position at XFORIA Inc?
Job Title: Agentic AI Engineer (Python)
Location: Minneapolis, MN (Onsite)
Duration: Long Term Contract
We are looking for a highly skilled Agentic AI Engineer with strong Python expertise to design and build intelligent, autonomous AI systems. This role focuses on developing AI agents capable of reasoning, planning, and executing complex workflows using large language models (LLMs), tools, and multi-agent frameworks.
The ideal candidate has hands-on experience building production-grade AI systems that go beyond traditional ML—leveraging agentic architectures, orchestration frameworks, and real-time decision-making systems.
Key Responsibilities
⦁ Design, develop, and deploy Agentic AI systems using Python
⦁ Build autonomous AI agents capable of planning, reasoning, and tool usage
⦁ Develop and manage multi-agent workflows and orchestration pipelines
⦁ Integrate LLMs with APIs, databases, and enterprise applications
⦁ Implement Retrieval-Augmented Generation (RAG) pipelines
⦁ Develop scalable backend services and microservices for AI applications
⦁ Optimize performance, latency, and cost of AI systems in production
⦁ Collaborate with Data Science, Engineering, and Product teams
⦁ Ensure best practices in testing, monitoring, and deployment of AI systems
Required Skills & Qualifications
⦁ 5 years of strong Python development experience
⦁ Hands-on experience with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, etc.)
⦁ Solid understanding of:
⦁ LLMs and prompt engineering
⦁ Autonomous agents and reasoning loops
⦁ Tool integration and function calling
⦁ Experience building and consuming REST APIs
⦁ Familiarity with vector databases (Pinecone, FAISS, Weaviate, etc.)
⦁ Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
⦁ Knowledge of Docker, Kubernetes, CI/CD pipelines
⦁ Strong debugging and problem-solving skills
Preferred Qualifications
⦁ Experience with multi-agent collaboration systems
⦁ Exposure to real-time streaming or event-driven architectures
⦁ Background in building AI copilots, chatbots, or workflow automation systems
⦁ Understanding of AI safety, guardrails, and governance
⦁ Telecom domain experience (nice to have)