Bolt Technology

Technology

StaffMachineLearningEngineer,AIApplications

$400–650k ~AI est. Warsaw, Masovian Voivodeship, Poland Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Staff candidates.

The Brief

“Staff Machine Learning Engineer, AI Applications at Bolt Technology. Skills: Machine Learning, AI Applications, Knowledge systems, LLM systems. Lead alignment of Customer Support AI system behavior. Improve answer quality”

What You'll Achieve.

Improve AI automation stack quality; Improve knowledge quality and retrieval; Build feedback loops for automation improvement; Make AI products measurably better; Ensure systems are accurate; Ensure systems are helpful; Ensure systems are grounded; Ensure systems are aligned; Turn interactions into durable improvements

Industry & Context.

Technology
Problems you'll solve

Failure analysis

What They're Looking For.

Must Have

Hands-on experience with retrieval-augmented systems, Hands-on experience with search, Hands-on experience with ranking, Hands-on experience with knowledge-based AI applications, Experience building feedback loops, Communication skills, Stakeholder management skills

Nice to Have

LLM-based pipelines experience, Agentic AI systems experience, Tool use experience, Routing experience, Memory experience, Multi-step reasoning experience, Human-AI orchestration experience

What You'll Do.

Lead alignment of Customer Support AI system behavior

Improve answer quality

Improve answer consistency

Improve answer grounding

Improve escalation behavior

Build knowledge mining capabilities

Scale knowledge mining capabilities

Own evaluation strategy for LLM-powered systems

Develop feedback loops

Connect production failures to system improvements

Connect human corrections to system improvements

Partner with engineers on AI application infrastructure

Contribute ML expertise to tool-use quality

Contribute ML expertise to routing behavior

Contribute ML expertise to memory quality

Contribute ML expertise to multi-step task performance

Influence roadmap across teams

Influence technical direction across teams

How You'll Work.

Team & Collaboration

Cross-functional partners; Engineering teams; Product teams; Operations teams; Domain experts

Communication Scope

Stakeholder management

Full Job Description

We are looking for a Staff Machine Learning Engineer, AI Applications to join Bolt’s Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt’s production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs. This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows. You will work closely with engineers and cross-functional partners building Bolt’s AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production. Main tasks and responsibilities

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