APIs AI Jobs

Discover the latest remote and onsite APIs AI roles across top active AI companies. Updated hourly.

Check out 66 new APIs AI roles opportunities posted on The Homebase

AI Deployment Strategist

New
Top rated
Relevance AI
Full-time
Full-time
Posted

The AI Deployment Strategist works with customers to turn high-value AI use cases into measurable outcomes by co-creating adoption roadmaps and overseeing end-to-end deployment. Additional responsibilities include driving change management, defining success metrics, training users, and ensuring integration and adoption in collaboration with cross-functional teams.

Undisclosed

()

Maybe global
Hybrid
LLMs
APIs
Data analytics

Enterprise Sales Manager, Financial Services

New
Top rated
OpenAI
Full-time
Full-time
Posted

The Enterprise Sales Manager, Financial Services at OpenAI will recruit, develop, and lead a team of Account Directors focusing on acquiring and growing enterprise Financial Services clients. This role involves shaping go-to-market strategy, creating sales playbooks, guiding complex, technical sales opportunities, and collaborating with product, marketing, finance, and technical success teams.

Undisclosed
YEAR

(USD)

Maybe global
Remote OK
AI
APIs
Data
Forecasting

AI Deployment Strategist

New
Top rated
Relevance AI
Full-time
Full-time
Posted

As an AI Deployment Strategist, you will turn high-value AI use cases into measurable outcomes for customers by co-creating adoption roadmaps and owning end-to-end deployment and value realization. You will work cross-functionally with product, engineering, and account teams to ensure seamless integration, user adoption, and value measurement of AI agents in real-world workflows.

Undisclosed

()

Maybe global
Hybrid
LLMs
APIs
Integrations
Data analytics

Founding AI Solutions Engineer – New York

New
Top rated
Giga
Full-time
Full-time
Posted

As a founding AI Solutions Engineer, you will lead complex, multi-stakeholder customer engagements for enterprise AI agent deployments. You will own strategic technical relationships, co-own implementation, and collaborate closely with technical and business teams to ensure successful delivery and adoption of AI-powered solutions.

Undisclosed
YEAR

(USD)

Maybe global
Hybrid
Python
APIs
Data pipelines
Cloud infrastructure

Founding AI Solutions Engineer – San Francisco

New
Top rated
Giga
Full-time
Full-time
Posted

Lead complex, multi-stakeholder technical engagements to help top brands operationalize AI agents that transform customer experience and support operations. Collaborate with Sales, Product, and Engineering to design, deploy, and support solutions that drive measurable business impact.

Undisclosed
YEAR

(USD)

Maybe global
On-site
Python
APIs
Data pipelines
Cloud infrastructure

Data Scientist - Fixed Term Contract

New
Top rated
Faculty
Temporary
Full-time
Posted

As a Data Scientist in the Applied AI team, you will develop bespoke algorithms and deliver end-to-end project solutions for diverse sectors. You will design software architectures, collaborate closely with clients to define project scopes, and ensure adherence to best practices while working with software engineers and designers.

Undisclosed

()

Maybe global
Hybrid
Python
NumPy
Pandas
Scikit-Learn
TensorFlow

AI Engagement Manager

New
Top rated
Resolve AI
Full-time
Full-time
Posted

The AI Engagement Manager leads delivery and adoption of Resolve AI's solutions to large enterprise customers, executing technical onboarding, rollout, and ensuring measurable impact on customer operations. They oversee multiple projects, align stakeholders, and drive usage, acting as the central point for technical and business outcomes.

Undisclosed

(USD)

Maybe global
On-site
Cloud infrastructure
APIs
Integrations

Technical Customer Support Specialist

New
Top rated
HappyRobot
Full-time
Full-time
Posted

You will provide front-line technical customer support for HappyRobot's AI platform, triage and debug customer issues, and collaborate with engineering and product teams to resolve problems. The role also involves applying prompt engineering skills to fine-tune AI workers for real-world logistics workflows.

Undisclosed

()

Maybe global
Remote OK
Python
React
TypeScript
Node.js
APIs

Software Engineer, Security

New
Top rated
Sierra
Full-time
Full-time
Posted

Design and build secure by default systems for Sierra's AI-driven platform, embedding security into backend, APIs, and infrastructure. Work with product and platform teams to implement security controls, trust primitives, and automation for sensitive workflows.

Undisclosed

()

Maybe global
On-site
Python
Go
TypeScript
CI/CD
APIs

Director of Product, Enterprise Readiness

New
Top rated
Harvey
Full-time
Full-time
Posted

This role oversees the strategy and execution of admin experience, identity, governance, security, and platform controls for Harvey's enterprise clients. Responsibilities include leading Identity & Access Management, partnering with infra and platform teams for reliability, and shaping the architecture for scalable enterprise deployments.

Undisclosed
YEAR

(USD)

Maybe global
On-site
IAM
SSO
SCIM
APIs

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[{"question":"What are APIs AI jobs?","answer":"APIs AI jobs involve developing and integrating artificial intelligence capabilities into applications through programming interfaces. These roles focus on connecting systems to AI services like OpenAI, Google Cloud AI, or IBM Watson for functions such as natural language processing, image recognition, and speech processing. Professionals in these positions make AI features accessible without requiring deep AI expertise, enabling applications to leverage powerful models through standardized connections."},{"question":"What roles commonly require APIs skills?","answer":"Backend developers, full-stack developers, and AI/ML engineers commonly require API skills to integrate AI models into applications. Data engineers work with these interfaces for model deployment and data governance. QA engineers use them for automated testing. Solutions architects design integration strategies across enterprise systems. API developers specifically focus on creating and maintaining these connections, while DevOps engineers ensure reliable infrastructure for AI services."},{"question":"What skills are typically required alongside APIs?","answer":"Programming proficiency in Python is essential alongside API skills in AI roles. Additional required skills include RESTful architecture knowledge, HTTP/networking fundamentals, and JSON data handling. Authentication and security expertise helps protect sensitive AI endpoints. Version control with Git supports collaborative development. Understanding of vector databases like Weaviate or Chroma is increasingly valuable for managing AI embeddings and similarity searches in modern applications."},{"question":"What experience level do APIs AI jobs usually require?","answer":"API AI jobs typically require mid-level experience with 2-5 years of software development background. Entry-level positions may be available for those with strong programming fundamentals and demonstrated API integration projects. Senior roles often demand 5+ years of experience with proven ability to architect complex systems using multiple AI services. Familiarity with specific platforms like OpenAI, Google Cloud AI, or Hugging Face can substantially strengthen qualifications regardless of total years of experience."},{"question":"What is the salary range for APIs AI jobs?","answer":"Salaries for API AI jobs vary based on location, experience, and specific role. Entry-level positions typically start in the mid-five figures, while experienced developers can earn well into six figures. Senior architects and specialized AI integration experts command premium compensation, especially in technology hubs. Roles involving rare combinations of skills, such as financial services API integration with compliance expertise, typically offer higher compensation due to specialized domain knowledge requirements."},{"question":"Are APIs AI jobs in demand?","answer":"API AI jobs are in high demand as organizations seek to integrate artificial intelligence capabilities into existing systems without rebuilding from scratch. The emergence of numerous AI agent frameworks like OpenAI Agents SDK and Dify reflects growing market needs. Enterprise platforms focusing on API governance and management underscore the critical nature of these skills. Companies across sectors need professionals who can connect applications to powerful AI models through standardized interfaces while maintaining security and performance."},{"question":"What is the difference between APIs and SDKs in AI roles?","answer":"APIs provide standardized endpoints for accessing AI services through HTTP requests, while SDKs offer pre-built code libraries and tools specific to programming languages. In practical terms, developers might use an OpenAI API directly with custom HTTP calls, or alternatively implement its SDK for streamlined integration. APIs offer flexibility across languages but require more implementation work, while SDKs provide convenience functions and error handling at the cost of being language-specific and potentially more restrictive."}]