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Afternoon Ai Programmer Jobs (NOW HIRING)

CBRE

Senior Principal AI/ML Engineer

Atlanta, GA · On-site

$120K - $166K/yr

Role Summary The Senior AI/ML Engineer is a hands-on technical practitioner responsible for ... in the afternoon. You write production code, make principled architecture decisions, and ...

ServiceNow

AI Adoption Lead

West Palm Beach, FL

$161K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... In the afternoon, you prepare an adoption dashboard and communication for leadership, showing ...

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How much do afternoon ai programmer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for afternoon ai 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 Afternoon AI Programmers?

Afternoon AI Programmers are software developers who specialize in creating, training, and maintaining artificial intelligence (AI) systems, typically working during afternoon shifts or hours. Their responsibilities include designing algorithms, writing code for AI applications, and collaborating with data scientists to implement machine learning models. These programmers may focus on tasks such as natural language processing, computer vision, or data analysis, depending on the company's needs. Afternoon AI Programmers are often employed in industries like tech, finance, healthcare, and more, where AI solutions are in demand. This role requires strong programming skills, familiarity with AI frameworks, and an understanding of data structures and algorithms.

How much do AI programmers get paid?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Entry-level positions may start around $70,000, while senior roles with specialized skills in machine learning and deep learning can exceed $150,000.

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

To thrive as an Afternoon AI Programmer, you need strong programming skills in languages such as Python or Java, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and experience with version control systems such as Git are commonly required. Excellent problem-solving abilities, effective communication, and time management are important soft skills for collaborating with teams and meeting project deadlines. These skills and qualities are crucial for developing reliable AI solutions that align with organizational goals and adapt to evolving technological needs.

Which 3 jobs will survive AI?

For an Afternoon AI Programmer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as software development, AI system design, and data analysis. These jobs often involve oversight, ethical considerations, and adapting to new technologies, making them less susceptible to automation. Skills in critical thinking and continuous learning will remain valuable in these fields.

What's the easiest AI job to get?

Entry-level AI programming roles, such as junior AI developer or AI intern, are generally the easiest to obtain. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and familiarity with AI frameworks such as TensorFlow or PyTorch. Building a strong portfolio with projects and gaining relevant certifications can also improve chances of entry into these roles.

How do Afternoon AI Programmers typically collaborate with other team members during their shift?

Afternoon AI Programmers often work closely with data scientists, product managers, and fellow developers to ensure that AI models and algorithms are integrated smoothly into applications. Collaboration usually happens through daily stand-up meetings, code reviews, and shared documentation, even if some team members are on different shifts. Effective communication and clear handovers are essential to maintain project continuity and resolve issues quickly. This collaborative environment allows programmers to learn from peers and contribute to cross-functional projects, enhancing both individual and team performance.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers, machine learning executives, or specialized AI consultants earning total compensation that includes salary, bonuses, and stock options. These positions often require advanced skills in deep learning, data science, and experience with large-scale AI projects, usually in leading technology companies or startups. Such compensation reflects the high demand and expertise required in the AI industry at senior levels.
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Afternoon Ai Programmer jobs near you

Industrial IoT Integration Engineer

Hammerhead AI

Redwood City, CA • On-site

$127K - $171K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

About Hammerhead

We're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.

At Hammerhead, you will:
⚡ Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure
🤝 Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies
🌎 Contribute to building a more efficient and sustainable future for AI compute.
🚀 Join a company at the cutting edge of modern data center design and operation
💰 Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.

🚀Learn from an experienced team that has built and sold startups before

Learn more about Hammerhead

  • These AutoGrid alums want to change how data centers use power

  • How Hammerhead Wants to Rewrite the Economics of AI

  • News & Blogs

Role Description

As an Industrial IoT Integration Engineer, you will build the critical bridges between our intelligent orchestration platform and the physical world. You will design, develop, and maintain the library of drivers and connectors that allow Hammerhead ORCA to communicate with a diverse array of data center assets—from utility meters and cooling systems to GPU clusters and building management systems (BMS). Reporting to the Head of Engineering, you will ensure our system can reliably ingest high-frequency telemetry and execute precise control actions across multi-vendor hardware environments, effectively translating RL decisions into physical reality.

Key Responsibilities

  • Connector Development: Architect and build high-performance, bi-directional connectors leveraging protocols such as MQTT, SNMP, IPMI, and Redfish, as well as RESTful APIs, to interface with power, cooling, and compute infrastructure.

  • Device Abstraction: Create a unified hardware abstraction layer that normalizes data from disparate vendors and equipment types, allowing our RL agents to interact with a standardized model of the data center.

  • Reliability & Safety: Implement robust error handling, connection pooling, and fail-safe mechanisms to ensure safe operation of mission-critical power and cooling assets during network interruptions or device failures.

  • Latency Optimization: Optimize data ingestion pipelines and concurrent dataflows in Golang to minimize latency, ensuring real-time telemetry reaches our control loop within milliseconds.

  • Field Integration: Collaborate with deployment teams to troubleshoot protocol and network issues in the field and expand our library of supported devices as we scale to new data center sites globally.

Qualifications

  • Protocol Expert: Deep understanding of network and IoT communication protocols such as MQTT, SNMP, Redfish, and REST APIs. Experience with OpenADR is a plus.

  • Concurrent Systems Programming: 3+ years of experience in Golang, with a strong focus on concurrency, parallelism, and network I/O patterns. Experience with Python, C++, or Rust is advantageous.

  • Hardware Intimacy: Comfortable working with physical devices, IoT sensors, PLCs, or Building Management Systems (BMS). Skilled in debugging packet captures and interpreting equipment technical documentation.

  • Data Center Knowledge: Familiarity with data center infrastructure (UPS, PDUs, chillers, CRACs) or similar industrial control environments.

  • Scrappy & Resourceful: Able to reverse-engineer proprietary interfaces in the morning and design scalable device control architectures in the afternoon.

What We Offer

  • Competitive salary, bonus, 401(k) plan and equity in a rapidly growing startup

  • Comprehensive health, dental, and vision coverage

  • Opportunity to apply the latest AI technologies working with an experienced team

Join our team to shape the foundation of tomorrow’s AI infrastructure

Visit our Careers page at (hammerheadco dot ai / careers) to apply