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Artificial Intelligence Programmer Jobs (NOW HIRING)

Orbotech

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

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How much do artificial intelligence programmer jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for artificial intelligence programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What are some common challenges faced by Artificial Intelligence Programmers when integrating AI models into existing products?

Artificial Intelligence Programmers often encounter challenges such as ensuring compatibility between AI models and legacy systems, managing data quality and quantity for effective model training, and optimizing model performance for real-time applications. Collaboration with software engineers, data scientists, and product managers is essential to address these issues and ensure seamless integration. Additionally, balancing computational efficiency with model accuracy is a frequent consideration, especially when deploying AI features in resource-constrained environments.

What are Artificial Intelligence Programmers?

Artificial Intelligence Programmers are specialized software developers who design, implement, and optimize algorithms that enable computers and applications to perform tasks requiring human-like intelligence. They typically work with machine learning, deep learning, natural language processing, and other AI technologies to create systems that can learn, analyze data, recognize patterns, and make decisions. Their work is crucial in industries such as robotics, gaming, healthcare, finance, and more, as AI becomes increasingly integrated into modern technology.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Programmer, and why are they important?

To thrive as an Artificial Intelligence Programmer, you need a strong background in computer science, mathematics, and machine learning algorithms, often supported by a relevant degree. Familiarity with programming languages like Python, TensorFlow, PyTorch, and experience with data processing tools are typically required. Analytical thinking, creativity, and effective communication help professionals stand out in developing innovative AI solutions. These skills are vital to build, optimize, and deploy intelligent systems that solve complex real-world problems.
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Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Posted 19 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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