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About the Role

We are looking for a Lead Agentic AI Engineer to improve the performance and efficiency of modern AI models in real-world applications. You will focus on adapting and optimizing models for specific behaviors, improving their ability to interact with systems, follow structured workflows, and operate reliably in production environments. This role combines hands-on experimentation with applied research, requiring a strong understanding of model behavior, data, and evaluation.

Responsibilities

Design and implement complex system logic for AI-driven workflows and interactions.
Lead development of reusable components and scalable system patterns.
Integrate multiple services, models, and data sources into cohesive systems.
Optimize model performance for specific behaviors and use cases.
Improve model reliability, consistency, and response quality in structured tasks.
Tune models to better interact with external systems and tools.
Apply fine-tuning techniques (e.g., LoRA, QLoRA) to adapt models efficiently.
Experiment with parameter-efficient approaches to improve performance while controlling cost.
Design and generate high-quality datasets, including synthetic data where appropriate.
Develop evaluation methods to measure improvements in model behavior and outputs.
Iterate quickly based on experimental results.
Run experiments to improve model performance across different scenarios.
Analyze trade-offs between accuracy, cost, and latency.
Stay up to date with emerging techniques and apply them pragmatically.

Requirements

Degree in Computer Science, Machine Learning, Data Science, or related field.
8+ years of professional engineering experience.
3+ years of hands-on experience building modern AI/ML models, LLM-based applications, or agentic AI systems.
Experience with fine-tuning techniques (e.g., LoRA, QLoRA or similar approaches).
Strong experience in Rust, Typescript, Python skills.
Experience with ML frameworks (e.g., PyTorch, TensorFlow).
Experience working with datasets, evaluation, and experimentation workflows.
Analytical mindset with strong problem-solving skills.
Candidates will be required to successfully complete a pre-employment screening process.
Pre-employment screening will involve employment, education, and criminal verification if applicable.

Skills

Rust
Typescript
Python
PyTorch
TensorFlow
LoRA
QLoRA

Work Type

Hybrid model of work
Flexible working hours

Experience Level

8+ years of professional engineering experience
3+ years of hands-on experience building modern AI/ML models, LLM-based applications, or agentic AI systems

Education Level

Degree in Computer Science, Machine Learning, Data Science, or related field

Salary/Compensations

Competitive salary plus bonus

Benefits

Challenging problems to solve
Collaborative and encouraging colleagues
Opportunities to learn, grow and develop: company hackathons, technical talks, and trainings
Regular feedbacks
Paid vacation days
A great work-life balance
Diverse team of fantastic & talented people from 60+ countries worldwide.
Brown bag talks, team events, BBQ on the rooftop and more!

About the Company

HERE Technologies is a location data and technology platform company.
We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see.
We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives.
If you are inspired by an open world and driven to create positive change, join us.
Learn more about us on our YouTube Channel.
Our culture is founded on openness, collaboration and honesty, with colleagues who are brilliant in their field, helpful, resilient, loyal and strive for the best.
One team in that everyone makes a difference and everyone is heard.

Equal Opportunity

HERE is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.