Senior
Senior
Senior
Senior
Senior

Site Reliability Engineer (AI/LLM & Infra)

Kubernetes
AI
LLM
AWS
Natalia Przybył
IT Recruiter
Location
Remote
Experience
Senior

You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.
Currently, we are developing advanced reinforcement learning (RL) environments and scalable evaluation systems that guide and shape the behavior of cutting-edge AI models. The company’s mission is to enable safe, verifiable, and aligned AGI through rigorous, real-world agent evaluation.

Due to the client’s time zone, we would appreciate a candidate who can work until 10:00 p.m.


Steps in the recruitment process
  1. HR call (max 10 min.)
  2. Call with Technical Manager (max 10 min.)
  3. Tech check with the Acai team (~ 40 min.)
  4. Technical interview(s) with our client (45 - 90 min.)

What will be your responsibilities?

  • Build and maintain production agentic systems, including agent loop architecture, tool/function calling integrations, state management, and custom evaluation harnesses
  • Produce high-quality, reproducible, production-level code that integrates cleanly into our client’s systems
  • Develop infrastructure for task generation, synthetic data generation, verifiable reward design and tool simulations
  • Creating and maintaining CI/CD processes and automating deploymentsDrive Infrastructure as Code practices using Terraform
  • Work with customers on environment integrations, stepping in hands-on to unblock the team as needed

Requirements

  • Ability to work 2:00 p.m. - 10:00 p.m. (CEST)
  • At least 5 years of experience in a DevOps role, with a strong focus on infrastructure and reliability engineering
  • Previous experience in working on AI/ML projects - MUST❗️
  • Proven experience in building and maintaining production-ready agentic systems (including agent loop architecture, tool/function calling integrations, state management, and custom evaluation harnesses)
  • Strong hands-on experience writing clean, scalable Python code
  • Knowledge of relational databases (e.g., PostgreSQL), vector databases, and columnar databases
  • Practice with AWS, K8s and Terraform

Nice to have:

  • BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field
  • Knowledge of Golang

160 – 230 PLN

netto per month - B2B

gross per month - Employment Contract
Natalia Przybył
IT Recruiter

Our benefits

01.
Multisport
As we believe in polish saying "clean body, clean soul", we want to provide you with access to sport facilities that you prefer.
sports
02.
Private healthcare insurance
As you join Acaisoft, you will be granted private insurance. If you have a family or a spouse - we can enable the private insurance for them as well.
health
03.
Internal initiatives
In Acaisoft, we regulary organize internal events such as game or movie nights, bar-hopping or sports.
lightbulb
04.
Top class equipment
Before your first day at work, our team will send you all of the equipment you will need. Our standard equipment includes MacBook Pro 16" with keyboard, mouse, headphones and external monitor(s).
workspace premium

Recruitment process

STEP 1
Application
After you apply, we will review your resume and get back to you. If your experience matches the requirements, we will schedule a quick screening call to get to know you.
create
STEP 2
Interview
After successful screening, you will be invited to interview with one of our delivery managers alongside with software engineer who will ask you technical questions.
question_answer
STEP 3
Decision
After the interviews, we will get back to you as soon as possible with a feedback and, if all goes well, job offer. The feedback process usually takes upmost to 5 business days.
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Natalia Przybył
Recruiter
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Since working with Acaisoft, our delivery velocity has increased at least 20 times. In the past months, we’ve done more developments than what had been done in the last four years in our company.
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