AI Agent

AI Principal Engineer

remote
Belgrade / Bucharest / Minsk / Tbilisi / Warsaw / Yerevan / Prague
Full-Time Contract

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.

As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth.

About the Role

We're looking for a hands-on AI Principle Engineer to help us build the future of AI at Improvado. It’s a unique opportunity for someone excited to define the product vision based on real user needs and directly build the systems that power it.

You’ll work closely with our CEO (who’s also our Chief Product Officer with a strong technical background) to drive the direction of our AI features. From high-level strategy to low-level implementation, you’ll bridge product thinking and deep engineering. You'll also help guide a small, talented team of AI engineers — mentoring, setting direction, and writing production code alongside them.

Note: This is a high-ownership, high-impact role with a 6-day workweek. We’re building fast and need someone ready to move with urgency and focus.

What You’ll Do

  • Co-own the AI product and technical roadmap with our CEO
  • Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters
  • Design and implement key AI-powered features from the ground up
  • Drive technical architecture decisions and ensure high code quality and reliability
  • Write scalable, production-ready code and build intelligent agents using modern LLM frameworks
  • Define and track success metrics — from model performance to user satisfaction and adoption

What We’re Looking For

  • A catalyst for action with a relentless drive for execution. We need a doer who thrives on speed and velocity, takes absolute ownership of outcomes, and is energized by a fast-paced environment
  • Strong product instincts and user empathy — you think beyond models and love solving real problems
  • Able to clearly communicate business context and product priorities to engineers — helping them build the right things, not just functional code
  • Deep experience building AI/ML systems, ideally with LLMs in production
  • Familiarity with the modern AI/LLM ecosystem
  • Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines
  • Clear communicator, comfortable leading discussions and making decisions
  • Previous startup or fast-paced environment experience is a plus
  • Availability to work a 6-day week and maintain consistent overlap with U.S. time zones.

What It’s Like to Work Here

  • At Improvado, we’re a collaborative and ambitious team that moves fast and learns even faster. We believe in:
  • Velocity and speed of delivery
  • Clear ownership and high trust
  • Working on problems that matter
  • Staying flexible while delivering high-quality work
  • Building great things together, not in silos
  • We work across multiple time zones, with most collaboration centered around U.S. hours. We’re remote-first but value real-time collaboration and proactive communication.

What We Offer

  • Fully remote work with overlap in U.S. time zones
  • Competitive salary based on your experience and impact
  • Relocation assistance to Latin America
  • Modern AI tech stack and freedom to experiment
  • 27 PTO days + U.S. holidays and extra days off
  • Professional development reimbursement
  • Stock options after the probation period

Why choose a career at Improvado

Recognized by Forbes as one of the best startup employers

Our culture

High-velocity delivery  

We operate in a high-energy, high-velocity environment where speed is married to efficiency. Rapid execution and delivery aren't mere buzzwords but inherent aspects of our work ethic.

A aulture of A-players  

Our team is composed strictly of 'A-players' who abide by responsibility and accountability for their actions. We believe in the innate drive of such individuals and don't entertain micromanagement.

Pioneering AI products

AI is at the core of our interest and operation, and we are proud to be forging the path in this captivating field. We've built an industry-first AI Agent for enterprises, a functioning technology in production settings.

Our company

Funding

$34M

Employees in 14 time zones

150

Integration partners

500+
Our seven key principles

At Improvado, our best work follows seven key principles

1
Be result-oriented

We focus on outcomes, not routines and clearly define expectations, even when confronted with obstacles.

2
Be disciplined

We clear our minds and clean our inbox. We only meet when there's agenda, work in sprints, and are on time.

3
Be open

We are people, not job titles. We are friendly and supportive of each other, and we encourage an atmosphere where everyone feels comfortable and safe.

4
Be aware

We listen deeply and react positively to maintain respectful communications. We accept mistakes and celebrate wins and achievements.

5
Be data-drive

We start and finish every process with analytics and data. We formulate hypotheses, prioritize, launch experiments, track progress, and validate wins.

6
Be contextual

We write down our thoughts, plans, and tasks to keep our minds clear. More importantly, we write things down in context to quickly re-connect with ideas.

7
Be pyramidal

We organize context following the Minto Pyramid principle. Start with a key idea at the top and continuously extend it with each new layer.