Remote Lead AI Engineer for Agentic Systems

Apoddo; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Apoddo is seeking an exceptional Lead AI Engineer to spearhead design and development of our advanced Agentic AI systems. You will lead a dedicated AI engineering team, write production-grade Python, and drive our generative AI strategy.

You will mentor engineers, architect multi-agent workflows with LangGraph and CrewAI, fine-tune frontier and open-source models, and ensure scalable, low-latency integration into our platform. Fully remote setup with overlapping CET/CEST hours.

Qualifications

• 5+ years of hands-on software and AI/ML engineering experience, with deep production-level Python expertise.
• Minimum 2+ years as Tech Lead, guiding software or AI teams.
• Proven track record designing and implementing AI agents and multi-agent systems with LangGraph, CrewAI, or AutoGen.
• Strong experience prompting, fine-tuning, and evaluating large language models (proprietary/frontier and open-source).

Responsibilities

• Lead and direct the daily technical work of an AI engineering team, fostering innovation and engineering excellence.
• Architect, build, and deploy production-ready, multi-agent workflows using LangGraph and CrewAI in Python.
• Lead fine-tuning, evaluation, and deployment of frontier and open-source LLMs tailored to domain tasks.
• Seamlessly integrate agentic systems into existing infrastructure with high reliability and low latency.
• Stay at the forefront of AI research and tooling, evaluating new models and frameworks.

Skills

Python

Lead team

AI/ML engineering

Production-grade coding

Tools

LangGraph

CrewAI

AutoGen

AWS Bedrock

Job description

Apoddo is seeking an exceptional Lead AI Engineer to spearhead design and development of our advanced Agentic AI systems. You will lead a dedicated AI engineering team, write production-grade Python, and drive our generative AI strategy.

You will mentor engineers, architect multi-agent workflows with LangGraph and CrewAI, fine-tune frontier and open-source models, and ensure scalable, low-latency integration into our platform. Fully remote setup with overlapping CET/CEST hours.