Senior Agentic AI Engineer: Production LLM Systems

Akoncagua AI; Lakeland (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Akoncagua AI is seeking a Senior Agentic AI Engineer to design, build, evaluate, and productionize advanced AI agents across LLMs and multi-agent systems. The role involves hands-on work, architecture reviews, and mentoring engineers in production AI practices.

The ideal candidate has 5+ years in AI/ML or software engineering, with strong Python/PyTorch skills and experience deploying production LLMs, agent orchestration, and multimodal pipelines.

Qualifications

• 5+ years of professional AI/ML or software engineering experience.
• MS/PhD or equivalent; interdisciplinary CS/CE plus Civil Engineering preferred.
• Strong Python, PyTorch, data structures, debugging, and systems design.
• Hands-on with production LLM and agentic AI systems.
• Deep knowledge of Transformers, prompting, RAG, embeddings, and multimodal AI.
• Experience designing workflows with planning, tool execution, memory, and human-in-the-loop.

Responsibilities

• Design and build production-grade LLM and Agentic AI systems.
• Develop coding agents, computer-use agents, multi-agent systems, and human-in-the-loop.
• Build agent architectures with planning, execution, state/memory management, validation, retries, and tool integration.
• Integrate AI agents with APIs, databases, CAD/GIS platforms, and enterprise apps.
• Build production-grade agent harnesses and evaluation infra for regression testing and gating.
• Lead technical design reviews and mentor junior engineers.

Skills

Python

PyTorch

LLMs

agentic AI

systems design

debugging

cloud infrastructure

Docker

Kubernetes

multimodal AI

API integration

Education

MS/PhD in CS/CE/AI

Tools

Lang Graph

AutoGen/AG2

Hugging Face Transformers

TRL

PostGIS

FastAPI

PostgreSQL

Vector databases

Job description

Akoncagua AI is seeking a Senior Agentic AI Engineer to design, build, evaluate, and productionize advanced AI agents across LLMs and multi-agent systems. The role involves hands-on work, architecture reviews, and mentoring engineers in production AI practices.

The ideal candidate has 5+ years in AI/ML or software engineering, with strong Python/PyTorch skills and experience deploying production LLMs, agent orchestration, and multimodal pipelines.