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Generative Ai Api Jobs (NOW HIRING)

Sia

Associate Consultant, Generative AI

Manhattan, NY · On-site

We are growing our Generative AI consulting practice and looking for motivated recent graduates to ... Develop applications powered by GenAI models (both self-managed and API-accessible) that meet ...

SIA

Associate Consultant, Generative AI

Manhattan, NY

We are growing our Generative AI consulting practice and looking for motivated recent graduates to ... Application Development: Develop applications powered by GenAI models (both self-managed and API ...

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 ...

SS&C

Generative AI Developer

... public API experimentation. Key Responsibilities Generative AI & Prompt Engineering * Design ... develop, and optimize applications leveraging internal LLM platforms * Create, test, and maintain ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ... Strong background in programmatic CAD workflows or programmatic 3D geometry (e.g., with Onshape API ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

About this role As a Generative AI CAD Engineer, you can shape our CAD/automation workflows by ... Strong background in programmatic CAD workflows or programmatic 3D geometry (e.g., with Onshape API ...

Staffingine LLC

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... API etc * Experience with AIML deep learning TensorFlow Python NLP * Excellent understanding of Generative AI related concepts methodologies and techniques Experience Qualifications * Bachelor ...

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Generative Ai Api information

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How much do generative ai api jobs pay per hour?

As of Sep 9, 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?

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 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.

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 other helpful pages are available for Generative Ai Api?

Other pages related to Generative Ai Api:

Infographic showing various Generative Ai Api job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $124,567 per year, or $59.9 per hour.

Senior AI Engineer (Generative AI & Intelligent Automation)

Charlotte, NC • On-site

Arkhya Tech
11 - 50 employees
Learn more about Arkhya Techexternal

$101K - $133K/yr

Other

Posted 21 days ago

Job description

Role: Senior AI Engineer (Generative AI & Intelligent Automation)

Work Location : Charlotte, NC (Hybrid) F2F interview

Position : C2C

Job description:

Required Qualifications

  • 5+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions.
  • 5+ years of hands-on experience with Python and AI development frameworks, including LangChain, LangGraph, Google ADK, and agent-based architectures.
  • 3+ years of experience implementing Document AI / Intelligent Document Processing (IDP) solutions involving OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, fuzzy comparison, and API integration.
  • 3+ years of experience designing and developing REST APIs, Microservices, and JSON/XML schema mappings for enterprise integrations.
  • Strong experience building and deploying LLM-powered applications, AI agents, RAG (Retrieval-Augmented Generation) solutions, and workflow automation platforms.
  • Experience implementing confidence scoring, validation frameworks, human-in-the-loop (HITL) workflows, and exception handling mechanisms.
  • Familiarity with workflow orchestration platforms, business process automation, and event-driven architectures.
  • Strong understanding of data privacy, PII handling, AI governance, model explainability, auditability, and responsible AI controls.
  • Experience with prompt engineering, vector databases, embeddings, and semantic search technologies.
  • Proficiency in Git, CI/CD pipelines, Agile methodologies, and automated testing practices.
  • Familiarity with MongoDB, Neo4j Knowledge Graphs, Redis, and vector databases.
  • Knowledge of MLOps, AI observability, model monitoring, and evaluation frameworks.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities within cross-functional teams.

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