Accountabilities

Architect, develop, and deploy complex agentic systems, including orchestration, tool use, memory, and state management.

Build production-grade AI and machine learning systems using Python.

Design, train, evaluate, and continuously improve machine learning and deep learning models.

Apply strong foundations in statistics, optimization, and machine learning to solve complex real-world problems.

Develop scalable AI solutions that work with structured and unstructured data.

Establish and improve AI evaluation, observability, reliability, and infrastructure practices.

Translate emerging AI research and techniques into functional prototypes and practical applications.

Apply critical thinking and product judgment to identify opportunities, overcome technical challenges, and deliver effective solutions.

Requirements

Degree in Computer Science, Engineering, or a related technical discipline.

Strong Python programming skills and experience building production-grade AI/ML systems.

Demonstrated experience architecting complex agentic systems, including orchestration, tool integration, memory, and state management.

Strong theoretical and practical knowledge of machine learning, deep learning, statistics, and optimization.

Experience designing, training, evaluating, and improving machine learning models.

Familiarity with AI evaluation, observability, system reliability, and scalable infrastructure.

Ability to rapidly translate cutting-edge research into working prototypes.

Excellent problem-solving skills, strong product instincts, and a proactive, action-oriented mindset.

Nice to have: Knowledge of data privacy, permission-aware AI systems, and secure AI architecture.

Benefits

Competitive compensation.

Opportunity to work on challenging, innovative projects aligned with your interests and skills.

A culture that encourages accountability, autonomy, and ownership rather than micromanagement.

Exposure to advanced AI challenges and collaboration with experienced engineers and data scientists.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1