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Generative Ai Api Jobs (NOW HIRING)

Nagarro

Staff Engineer - AI Engineer

RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. * Strong communicator - able to translate ...

Nagarro

Staff Engineer - AI Engineer

RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. * Strong communicator - able to translate ...

United IT

Generative AI Engineer

Charlotte, NC · On-site

Generative AI Engineer (Java/Python) Location: Charlotte, NC We are seeking a skilled Generative AI ... Familiarity with API development, microservices, and containerization (Docker, Kubernetes)

New

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

... API through GenAI assisted coding o Build/Test solution for test data mining using Generative AI ... • Architecture & Design o Participate in design and implementation of solutions, fine-tuning ...

Code Metal

Senior Software Engineer - Agentic AI

Boston, MA · Hybrid

$133K - $175K/yr

Three or more years of experience developing Generative AI pipelines * Proficiency with frameworks and tools such as LangChain, LangGraph * Experience with standard AI API frameworks such as Chat ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

Strong proficiency in Python and experience with FastAPI for API development. Hands-on experience with Generative AI frameworks and RAG architectures. Solid understanding of system and architecture ...

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

... product (API integration, testing, observability, caching, infrastructure for fine-tuning and ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

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How much do generative ai api jobs pay per hour?

As of Jun 6, 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.

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.

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 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.
Infographic showing various Generative Ai Api job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, 71% Part Time, and 2% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $124,567 per year, or $59.9 per hour.

Staff Engineer - AI Engineer

Nagarro

Remote

Full-time

Posted 6 days ago

Job description

Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Role: AI Engineer
Location: Remote, USA
Duration: 6 Months Contract with possible extension
Job Overview:
  • AI Engineer with 6-9 years of experience required along with (Optional) 2-4 years working in manufacturing domain.
  • Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
  • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
  • LLM/AI: Hugging Face, LangChain, Open AI API.
  • RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.
  • Strong communicator - able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. Python, R, SQL LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines

Qualifications
Must have:
  • AI Engineer with 6-9 years of experience.
  • Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.

Additional Information
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

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