AI Systems Architect & ML Engineer

Jobgether; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Challenging, innovative projects

Culture of accountability and autonomy

Exposure to advanced AI challenges

Job summary

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.

Responsibilities

• 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.

Skills

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

Education

Bachelor's degree in Computer Science or related field

Job description

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.