ai engineer for production AI systems

Sii Poland; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

AI Grant program

Two paid weeks for personal projects

Access to AI Center of Excellence

Conference attendance support

Profit sharing

Sponsorship program

Job summary

HireHi ищет инженера ML/софтвра с опытом доставки AI в продакшн. Вы будете строить end-to-end knowledge-grounded AI-системы, включая ingestion, embeddings, retrieval и генерацию ответов.

Требуется сильный Python, опыт работы с LangChain/LangGraph, знание облаков (Azure/AWS/GCP) и MLOps; владение английским языком. Работа удаленно с международной командой, возможны офисы.

Qualifications

• 4+ лет опыта разработки ПО/ML, включая продакшн-решения

Responsibilities

• Разрабатывать и разворачивать знания-ориентированные AI-системы от ingest до генерации ответов
• Интегрировать инструменты, реализовать планирование, память и guardrails
• Поддерживать ML-пайплайны: предсказания, классификацию, рекомендации и оптимизацию
• Разрабатывать и оптимизировать модель-сервис через API, батчи, кэширование и мониторинг

Skills

Strong Python

ML engineering

English proficiency

Tools

LangChain

LangGraph

Semantic Kernel

Azure

AWS

GCP

Vector databases

Job description

Описание:

The team builds production AI systems, including knowledge-grounded AI applications, generative and classical AI models, and cloud-based services. Its projects span legal document compliance, manufacturing, enterprise AI platforms, computer vision, and autonomous driving.

Задачи:

Build and deploy end-to-end knowledge-grounded AI systems, including data ingestion, chunking, embedding pipelines, retrieval, re-ranking, and response generation Develop agentic applications with tool integrations, planning loops, memory management, and guardrails Implement and maintain ML pipelines for prediction, classification, recommendation, and optimization Deploy and optimize model-serving infrastructure, including API endpoints, batching, caching, GPU utilization, and cost management across cloud environments Write clean, tested, production-grade Python Build evaluation and monitoring pipelines for quality checks, drift detection, latency tracking, and human-in-the-loop feedback Implement scalable solutions using cloud-native AI services on Azure, AWS, or GCP Collaborate with AI Architects on technical design and with data engineers on data availability and quality

Требования:

At least 4 years of software or ML engineering experience, including hands-on experience shipping AI/ML systems to production Strong Python skills and experience writing maintainable, tested code for production services Practical experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent Working knowledge of at least one major cloud platform and its AI/ML services: Azure, AWS, or GCP Experience with vector databases, embedding models, and retrieval systems in real-world applications Familiarity with MLOps fundamentals, including model versioning, experiment tracking, CI/CD for ML, and monitoring Ability to work autonomously and collaborate effectively with architects, data engineers, and product teams Fluent English, written and spoken Fluent Polish Residing in Poland Будет плюсом: LLM fine-tuning (LoRA, QLoRA) or model training pipelines, classical ML with scikit-learn or XGBoost, time series forecasting or recommendation systems, containerized deployments with Docker or Kubernetes, infrastructure-as-code, open-source AI/ML contributions, published technical writing

Условия:

An AI Grant provides dedicated budget and resources for personal AI projects, plus two paid weeks to focus on a project Access to an AI Center of Excellence and AI-powered development tools, including Claude, Cursor, and GitHub Copilot Support for conference attendance and speaking, including dedicated preparation time and bonuses Profit sharing Passion Sponsorship program Regular integration events and trips Medical care Comfortable, well-equipped offices