Key Facts

Remote From:

Anywhere , European Union

Category: Artificial Intelligence Engineer

Full time

Senior (5-10 years)

English

Hard Skills

Python (Programming Language) Real Time Data Mload Distributed Computing SQL (Programming Language) NoSQL Microservices Microsoft Message Queuing

Other Skills

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Collaboration
•
Problem Solving
•
Adaptability

Roles & Responsibilities

BSc or higher in Computer Science, Engineering, or a related technical field.
5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.

Requirements:

Design, build, and maintain real-time AI-powered APIs and services in Python.
Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
Develop agentic logic and reasoning pipelines for conversational and task-based automation.
Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.

Talentuch

Human Resources, Staffing & Recruiting

About Talentuch

Talentuch offers full-cycle international IT recruitment on a subscription basis. We provide ERP recruitment services, in the area of SAP and Microsoft Dynamics since 2017 and we successfully close a variety of IT roles since 2020. As of 2021, we also offer managed teams of recruiters and talent sourcers. Talentuch is a 40 people agency now, with 40+ clients whom we serve either project-based or by a subscription model. We boast 20+ accepted offers per month and our average interviewing capacity is 300+ interviews monthly for technical positions worldwide. Our team members are certified in technical recruitment and sourcing. We also run Talentuch Recruiter Academy on a regular basis. This is Talentuch: 🔘 We want to be the agency of choice that empowers companies to grow internationally without calculating the cost of recruitment. 🔘 We are fearless explorers. Our possibilities are unlimited and we break through when others fail. Our clients call our agency service phenomenal. 🔘 We are recruiters and we place stars in the right places. 🔘 Our clients do not have the fear of hiring expensive candidates. We make hiring affordable for our clients.

Company type: Startup

Industry: Human Resources, Staffing & Recruiting

Founded: 2018

Company size: 11 - 50

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Job description

We’re building agentic AI for real-world CX. As an AI Engineer at HiO, you’ll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.

What you’ll do

Design, build, and maintain real-time AI-powered APIs and services in Python.
Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
Develop agentic logic and reasoning pipelines for conversational and task-based automation.
Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
Ensure high performance, reliability, and data security across production workloads.
Deploy and manage applications on modern cloud environments (AWS / GCP)
Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

What We’re Looking For

BSc or higher in Computer Science, Engineering, or a related technical field.
5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.
Familiarity with LangGraph, LangChain, or similar orchestration frameworks.
Strong understanding of MLOps, microservices, and distributed architectures.
Solid grasp of SQL/NoSQL databases, message queues, and scalable data design.
Experience deploying applications to AWS, GCP, or similar cloud platforms.
Ownership mindset - comfortable operating across the stack and figuring things out fast.
Excited to work in a fast-paced startup environment where priorities shift quickly and impact is immediate.