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Senior AI Engineer

SmartRecruiters

Senior AI Engineer

SmartRecruiters

Poland

·

On-site

·

Full-time

·

1w ago

We are looking for a Senior AI Engineer to join our Chat Group, where we’re building the next generation of intelligent conversational systems for the recruiting industry. Our mission is bold yet simple: boost the efficiency of recruiting and hiring teams and deliver the most personalized experience ever - powered by cutting-edge ML, NLP, and agentic AI. You’ll play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver intelligent and context-aware recruiting experiences at scale. At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs. You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes. We’re not just building chat systems - we’re building the AI recruiting assistants of the future. Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. What You’ll Do - Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems - Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment - Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design - Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows - Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems - Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact - Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem ## Qualifications - BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience - 5+ years of experience developing and deploying machine learning systems in production - Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation - Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face) - Advanced Python programming skills and solid software engineering fundamentals - Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment - Hands-on experience with agentic workflows or building autonomous AI systems is a major plus - Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred - Experience with data quality management, evaluation metrics, or observability in ML systems is a plus - Strong analytical thinking, creativity, and an ownership mindset - Excellent communication and collaboration skills in a cross-functional, international environment - Fluency in English, both written and spoken ## Additional Information SmartRecruiters is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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About SmartRecruiters

SmartRecruiters

A recruiting AI company that provides a hiring platform that automates and optimizes the talent acquisition process.

501-1,000

Employees

San Francisco

Headquarters

Reviews

3.0

4 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

2.5

Career

2.0

Management

2.0

15%

Recommend to a Friend

Pros

Application status updates from 'New' to 'In Review'

Status changes are trackable

Basic functionality for tracking applications

Cons

Unclear meaning of status stages

No communication from employer after status change

Status may not update even after interview occurs

Salary Ranges

1 data points

VP

VP · Head of People

1 reports

$230,000

total / year

Base

$200,000

Stock

-

Bonus

-

$230,000

$230,000

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 20%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

Common Questions

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge