AI Engineer (Agentic Systems)

Jobgether; United States; À distance; USD 150 000 - 210 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Challenging, innovative projects

Culture of accountability and autonomy

Exposure to advanced AI challenges

Résumé du poste

Jobgether is seeking an experienced AI/ML architect to design and deploy agentic systems using Python. You will build production-grade models, orchestrate tool chains, and manage memory/state for scalable AI solutions.

You will apply ML/DL theory, statistics, and optimization to real-world problems, improving evaluation, observability, and reliability of AI systems. Join a team of engineers driving innovative AI applications.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

Production-grade AI/ML

Agentic systems architecture

ML/DL knowledge

Statistics and optimization

Model training/evaluation

Data handling (structured/unstructured

Problem solving/product instincts

Formation

Bachelor's degree in Computer Science or related field

Description du poste

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.