AI engineer in agentic systems

Apoddo; United States; Remote; USD 180,000 - 250,000; Full time

Job summary

Apoddo ищет выдающегося инженера по искусственному интеллекту для разработки передовых систем агентного ИИ. Ваша работа будет тесно связана с командой инженеров, вы будете создавать автономные рабочие процессы, интегрирующиеся в нашу основную платформу, с использованием современных фреймворков и крупных языковых моделей.

Требуется опыт 5+ лет, глубокие знания Python, навыки построения и развёртывания мульти-агентных систем, а также работа с LangGraph, CrewAI, AutoGen и AWS Bedrock.

Qualifications

• 5+ лет опыта hands-on software и AI/ML инженерии, продакшн-уровень
• Доказанный опыт проектирования и внедрения агентов и мульти-агентных систем
• Сильный практический опыт prompting, fine-tuning и оценки LLM
• Опыт overlap с основной командой 4:00 PM–7:00 PM CET/CEST

Responsibilities

• Разработка и развёртывание production-ready multi-agent workflows на Python
• Тонкая настройка, оценка и развёртывание frontier и open-source LLM
• Интеграция агентных систем в существующую инфраструктуру
• Мониторинг и улучшение производительности и надёжности систем

Skills

Python

AI/ML engineering

Multi-agent systems

LLM prompting

Tools

LangGraph

CrewAI

AutoGen

AWS Bedrock

Job description

Описание:

We are looking for an exceptional AI Engineer to contribute to the design and development of our advanced Agentic AI systems. In this role, you will work closely with a dedicated AI engineering team, leveraging cutting-edge LLMs and multi-agent frameworks to build intelligent, autonomous workflows that integrate seamlessly into our core platform.

Задачи:

• Build, and deploy production-ready, multi-agent workflows using frameworks such as LangGraph and CrewAI in Python.
• Fine-tune, evaluate, and deploy both frontier LLMs (e.g., OpenAI, Anthropic) and open-source models (e.g., Llama, Mistral) tailored to specific domain tasks and datasets.
• Seamlessly integrate agentic systems into existing software infrastructure, ensuring high reliability, low latency, and scalable performance.
• Stay at the forefront of AI research and tooling, continuously evaluating new models, frameworks, and techniques to improve our AI capabilities.

Требования:

• Minimum 5+ years of hands-on software and AI/ML engineering experience, with deep, production-level expertise in Python.
• Proven track record of designing and implementing complex AI agents and multi-agent systems using tools like LangGraph, CrewAI, or AutoGen.
• Strong practical experience prompting, fine-tuning, and evaluating Large Language Models (both proprietary/frontier and open-source).
• Ability to consistently overlap with the core team from 4:00 PM to 7:00 PM Belgrade time (CET/CEST).
• Будет плюсом: Hands-on experience deploying and managing AI models using AWS Bedrock and the broader AWS generative AI ecosystem; Experience operating within stringent security, governance, and compliance standards (e.g., banking or financial sectors); Background in building evaluation frameworks for LLM outputs (e.g., RAG metrics, hallucination detection).

Условия:

• Build real-world, production-facing agentic systems that solve complex, high-value problems.
• Fully remote setup with targeted, predictable overlap hours.