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Generative Ai Api Jobs (NOW HIRING)

Saviance

Generative AI Engineer (LLM Expert)

Responsibilities : • Design and implement LLM-driven features using OpenAI API (including ... LLMs and Generative AI. • Mastery of the OpenAI API, including reasoning capabilities ...

Saviance

Generative AI Engineer (LLM Expert)

Responsibilities : • Design and implement LLM-driven features using OpenAI API (including ... LLMs and Generative AI. • Mastery of the OpenAI API, including reasoning capabilities ...

Sia

Generative AI Consultant

San Francisco, CA · On-site

Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI ... Develop applications powered by GenAI models (both self-managed and API-accessible) that meet ...

Apex Systems

Generative AI Developer

Pleasanton, CA · On-site

Strong proficiency in Python for application development, API integrations, and AI workflow ... building Generative AI or Machine Learning solutions. * Experience developing enterprise AI ...

Citigroup, Inc.

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology ... Expert-level Python proficiency - including async programming, API development (FastAPI, Flask ...

Citigroup Inc.

Lead Generative AI Developer

Manhattan, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology ... Expert-level Python proficiency -- including async programming, API development (FastAPI, Flask ...

SS&C Technologies

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

Citi

Senior Generative AI Developer

New York, NY · On-site

$142K - $213K/yr

About the Role We are looking for a Senior Generative AI Developer to join our COO Technology ... Expert-level Python proficiency - including async programming, API development (FastAPI, Flask ...

Citi

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology ... Expert-level Python proficiency - including async programming, API development (FastAPI, Flask ...

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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.

Technical Lead - Generative AI (GenAI) Solutions

Houston, TX • On-site

Interon IT Solutions
See more jobs at Interon IT Solutionsexternal

Contractor

Re-posted 22 days ago

Job description

Job Title: Technical Lead – Generative AI (GenAI) Solutions

Location: Houston, TX (Onsite)
Contract Type-W2

Job Description

We are looking for a Technical Lead – Generative AI (GenAI) Solutions to lead the design, development, and delivery of enterprise-grade AI solutions. The ideal candidate will have strong hands-on engineering experience, proven technical leadership, and deep knowledge of AI/ML systems, agent architectures, and modern microservices platforms. This role requires close collaboration with product managers, engineering leaders, and business stakeholders.

Key Responsibilities

  • Lead end-to-end technical delivery of Generative AI solutions, including AI agents, RAG pipelines, and automation components.
  • Translate business and product requirements into scalable technical designs and implementations.
  • Own technical architecture, design decisions, and engineering standards across the pod/team.
  • Participate in sprint planning, backlog grooming, and technical discovery sessions.
  • Conduct code reviews, manage module ownership, and ensure adherence to best practices.
  • Track delivery metrics including velocity, quality, and performance.
  • Drive A/B testing, experimentation, and continuous improvement initiatives.
  • Mentor and support junior engineers (SDE I and SDE II).
  • Collaborate with Product Managers, Tech Chapter Leads, and Engagement Leads to align solutions with platform strategy.
  • Communicate technical updates and risks to business and technical stakeholders.
  • Represent the team in architecture reviews and technical forums.

Required Skills & Qualifications

Technical Leadership & Engineering

  • 8+ years of software engineering experience with at least 2+ years in a technical lead role.
  • Strong experience in client-side and backend development, including service orchestration and streaming.
  • Expertise in microservices architecture and enterprise AI/ML platforms.
  • Experience with API design, service integrations, and cross-platform communication.
  • Proficiency with CI/CD pipelines, version control, and automated deployments.

Generative AI & Agent Systems

  • Hands-on experience designing and developing Generative AI applications.
  • Experience building conversational AI, autonomous agents, and multi-agent systems.
  • Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
  • Experience with inference strategies and model selection trade-offs (cloud-based vs on-device).

Security & Compliance

  • Knowledge of enterprise data privacy, cybersecurity standards, and regulatory requirements.
  • Experience handling user interaction data, logs, observability, and retention policies.

Testing & Observability

  • Experience with observability tools for logging, monitoring, and distributed tracing.
  • Strong understanding of API testing, authentication, and authorization mechanisms.

Preferred Qualifications

  • Experience delivering AI solutions in large-scale enterprise environments.
  • Exposure to data science, automation, or ML engineering workflows.
  • Strong communication skills with the ability to translate technical concepts to non-technical stakeholders.