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Generative Ai Api Jobs (NOW HIRING)

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Support documentation efforts including creating technical guides, API documentation, and prompt ... Research experience in NLP, generative AI, or related fields, including publications or conference ...

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical ... API Development & Integration: Experience integrating external APIs, tools, and data sources into ...

Monks

Technical Director, Generative AI

New York, NY · On-site

Technical Director, Generative AI About the Role As a Technical Director, you'll collaborate with ... ComfyUI workflows, API integrations, automation systems). * Ensure technical quality and QA ...

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Generative Ai Api information

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How much do generative ai api jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for generative ai api in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $67.31 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Generative AI API developers, AI ethicists, and data scientists are likely to continue thriving as their roles involve designing, overseeing, and interpreting AI systems, which require specialized skills and human judgment. These jobs demand creativity, critical thinking, and domain expertise that are difficult for AI to fully replicate. Continuous learning and familiarity with AI tools and programming languages enhance job security in these fields.

What is a Generative AI API?

A Generative AI API is an application programming interface that allows developers to integrate artificial intelligence models capable of generating content—such as text, images, audio, or code—into their own applications. These APIs provide access to powerful pre-trained models, so users do not need to build or train their own AI systems from scratch. Common use cases include chatbots, content creation, image generation, and language translation. Generative AI APIs are offered by various providers and are accessed over the internet, often through RESTful endpoints.

What are the key skills and qualifications needed to thrive as a Generative AI API developer, and why are they important?

To thrive as a Generative AI API developer, you need strong programming skills (particularly in Python), a solid understanding of machine learning concepts, and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, RESTful API design, and cloud platforms (such as AWS or Azure) is highly valuable, along with relevant certifications in AI or cloud computing. Excellent problem-solving abilities, communication skills, and adaptability help you collaborate effectively and respond to rapidly evolving technology trends. These skills are crucial for building robust, scalable AI solutions that meet user needs and industry standards.

Is generative AI a good career?

A career in generative AI involves developing and deploying models that create content such as text, images, or audio, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI specialists across industries like technology, healthcare, and entertainment. Professionals often need knowledge of deep learning frameworks and may pursue certifications to stay current in this evolving area.

What is the difference between Generative Ai Api vs Data Scientist?

AspectGenerative Ai ApiData Scientist
Required CredentialsBasic understanding of AI/ML concepts, API integration skillsDegree in Computer Science, Data Science, or related field; often advanced certifications
Work EnvironmentDeveloping, deploying, and maintaining AI APIs in cloud or on-premises environmentsAnalyzing data, building models, and deriving insights from datasets
Industry UsageUsed by developers and companies to integrate AI functionalities into applicationsUsed by organizations to interpret data, create models, and inform decision-making

While Generative Ai Api focuses on creating accessible AI tools via APIs for developers, Data Scientists analyze data and build models to solve complex problems. Both roles are essential in AI development but serve different functions within the industry.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, machine learning, or AI development can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at top tech companies or in leadership roles. High compensation often includes bonuses, stock options, and other incentives.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

What are the typical challenges of working with Generative AI APIs in a production environment?

Working with Generative AI APIs in a production environment often involves challenges such as managing latency, ensuring consistent quality of generated outputs, and integrating AI services with existing systems. It's common to encounter issues related to prompt engineering, handling edge cases, and monitoring for inappropriate or biased content. Collaboration with product, engineering, and data science teams is essential to iterate on workflows, deploy updates safely, and address any ethical or compliance concerns that arise during deployment.

Backend Engineer, Generative AI Services

OPPO US Research Center

Palo Alto, CA • On-site

Full-time

Posted 24 days ago

Be an early applicant

Job description

OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and high-performance RESTful APIs that serve as the backbone for our generative AI-powered Android applications.

You will work primarily with platforms like Google Cloud or Azure to bring advanced AI capabilities directly to our users' mobile phones. This is a unique opportunity to build mission-critical services that will define how users interact with AI in a mobile platform, from concept to deployment.

Requirements

Core Development & Infrastructure

  • Design, develop, and maintain scalable RESTful APIs in Python to power generative AI features
  • Integrate backend services provided by the platform such as GCP Vertex AI or developed internally

Performance & Systems

  • Optimize API performance and scalability for global Android users
  • Contribute to architectural design of distributed systems (availability, fault tolerance)

Collaboration & Operations

  • Work closely with Android and ML teams on API contracts and model integration
  • Implement monitoring, logging, and security best practices for production systems

Quality & Innovation

  • Ensure code quality through testing (unit, integration, E2E) and documentation
  • Stay updated on generative AI and cloud technology trends

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 3+ years of professional backend software development experience, with a focus on building and deploying RESTful APIs.
  • Proficiency in Python and one of the associated web frameworks (e.g., Flask, Django).
  • Demonstrable experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., Firestore, MongoDB).
  • Solid understanding of microservices architecture, asynchronous processing, and event-driven systems.
  • Experience with version control systems, particularly Git.
  • Strong problem-solving skills, with the ability to debug complex systems and diagnose issues across the stack.

Preferred Qualifications:

  • Master's degree in Computer Science, AI, or a related field.
  • Direct hands-on experience integrating with Google Cloud Platform's Vertex AI APIs (e.g., PaLM, Gemini, Imagen, Codey, etc.)
  • Experience with containerization technologies (Docker) and orchestration (Kubernetes, Cloud Run, GKE).
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Understanding of fundamental machine learning and deep learning concepts, especially in the context of generative AI.
  • Experience or strong interest in building APIs specifically for mobile applications (Android/iOS).
  • Knowledge of data streaming technologies (e.g., Kafka, GCP Pub/Sub).
  • Experience with caching technologies (e.g., Redis, Memcached).
  • The ability to collaborate effectively with cross-functional teams.

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.