ZR_2803_JOB

Zohorecruit; Jacksonville (FL); On-site; USD 110,000 - 170,000; Full time

Job summary

Zohorecruit in Jacksonville, FL is seeking an Agentic AI Developer to design, build, and deploy autonomous agent systems that reason over diverse data using modern LLMs and orchestration frameworks. You will work closely with product, data, and ML teams to translate business requirements into intelligent automated workflows.

Responsibilities include building RAG pipelines, integrating multiple data sources, and delivering production-ready Python code.

Qualifications

• 2–5 years of hands-on software development experience post-undergrad.
• Strong Python programming and production ML experience.
• Deep understanding of agentic architectures, LLMs, and orchestration frameworks like Rasa or LangChain.
• Experience with OpenAI, Claude, and LLaMA models.

Responsibilities

• Design and implement autonomous agents leveraging LLMs like GPT-4, LLaMA, Claude and orchestrate them using tools.
• Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines for context-aware tasks.
• Collaborate with product, data, and ML teams to translate requirements into agentic workflows.
• Integrate multiple data sources into AI pipelines for enhanced reasoning and decision-making.
• Build tools for real-time inference, reasoning, and agent monitoring in production.
• Conduct performance analysis, A/B testing, and continuous improvement of agents.
• Write clean, production-grade Python code and participate in code reviews and architecture decisions.
• Communicate complex technical concepts clearly to technical and non-technical stakeholders.

Skills

Python

LLMs

Agentic architectures

Rasa/LangChain/LangGraph

Tools

Rasa

LangChain

LangGraph

Job description

Jacksonville, United States | Posted on 01/13/2026

We are seeking a highly motivated and technically proficient Agentic AI Developer to join our growing team. You will be responsible for designing, developing, and deploying advanced autonomous agent systems that interact with and reason over diverse data sources using modern language models and frameworks. This is a unique opportunity for a self-driven developer with strong AI fundamentals and practical experience building agentic systems using state-of-the-art language models like OpenAI's GPT, Meta’s LLaMA, Anthropic's Claude, and orchestration frameworks such as Rasa. You will play a key role in shaping the next generation of intelligent, context-aware systems that autonomously solve complex tasks.

Key Responsibilities

• Design and implement autonomous agents leveraging LLMs (e.g., GPT-4, LLaMA, Claude) and orchestrate them using tools like Rasa and custom workflows.
• Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines for context-aware task execution.
• Collaborate closely with product, data, and ML engineering teams to translate business requirements into intelligent, agentic workflows.
• Integrate multiple data sources (structured and unstructured) into AI pipelines for enhanced contextual reasoning and decision-making.
• Build tools for real-time inference, reasoning, and agent monitoring in production environments.
• Conduct performance analysis, A/B testing, and continuous improvement of deployed agent systems.
• Write clean, well-documented, production-ready Python code and contribute to code reviews and architectural design decisions.
• Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.

Requirements: Must-Have Qualifications

• 2–5 years of hands‑on software development experience post-undergrad.
• Strong programming proficiency in Python and experience building production‑level ML applications.
• Deep understanding of agentic architectures, LLMs, and orchestration frameworks like Rasa or LangChain, LangGraph.
• Demonstrated experience working with OpenAI, Claude, and LLaMA models