APIs AI Jobs

View detail

As an Atlas Engineer at Basis, you will own internal systems and agents end-to-end, from scoping to deployment. Responsibilities include identifying opportunities, designing automations, building internal agents for coding, operations, and knowledge management, defining and maintaining context architectures, extending and evaluating agents with prompts, tools, and safety layers, and creating feedback loops by instrumenting impact, analyzing trajectories, and iterating behavior. You will automate high-leverage workflows by identifying manual processes for automation, building and extending internal tools such as Retool apps, custom scripts, or APIs, integrating SaaS systems and internal data sources, and optimizing when to code versus configure. Additionally, you will build connective systems across teams by partnering with engineering, operations, and accounting, mapping bottlenecks, designing systems to remove them, building lightweight internal products like CLI tools, Slack bots, and Chrome extensions, and documenting your work for extensibility. You will operate as the Responsible Party for your projects, planning, building, iterating, shipping fast, instrumenting impact, measuring improvement, running postmortems, refining processes, and sharing learnings and reusable frameworks.

View detail

Build and maintain components of the AI agent platform, internal tools, and backend systems. Develop and test APIs and integrations with external platforms like ServiceTitan. Participate in the full product cycle from idea through prototype to production. Improve agent intelligence and voice performance in real time. Collaborate with senior engineers to deliver high-impact features and maintain code quality.

View detail

As a Backend Platform Engineer at Harvey, you will build and operate the backend platform that supports all company services, designing and implementing shared frameworks and libraries to abstract common concerns and improve developer experience. Responsibilities include developing and maintaining internal backend frameworks and libraries for capabilities such as API routing, service lifecycle management, caching, messaging, and error handling, creating and improving APIs, service templates, and versioned interfaces, and championing modern backend architecture patterns like asyncio and streaming data processing. You will design Harvey-specific abstractions and domain-specific frameworks covering cross-cutting concerns and areas like data governance and event processing. Embedding reliability and observability through tracing, metrics, and automated tests to ensure robustness and ease of monitoring is required. Collaboration with the Model Infrastructure team, Developer Experience and Infrastructure teams to integrate platform components, handle GenAI-native application challenges, and gather feedback from product engineering teams is part of the role. Evangelizing best practices and providing strong defaults and clear documentation to facilitate fast and confident development by product teams is also expected.

View detail

As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. You will leverage engineering expertise to design scalable AI workflows for clinical and operational use cases, producing professional-grade systems and data-flow diagrams defining interfaces, failure modes, and integration points with EHRs and legacy systems. You will build and deploy Large Language Model (LLM) powered workflows, applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost. You will perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls, establishing guardrails such as audit trails and least-privilege access for safe clinical deployment. You will independently manage technical implementation plans, defining scope and setting expectations with customers, driving prototypes into production and facilitating the transition to steady-state ownership alongside Customer Success teams. You will serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders. Additionally, you will provide input to internal cross-functional teams on platform gaps to help widen competitive advantage.

View detail

You will design and build backend and infrastructure systems for OpenAI’s monetization and ads stack, emphasizing reliability, privacy, security, and large-scale performance. You’ll develop APIs and platforms, drive 0→1 infrastructure projects, and collaborate cross-functionally with Product, Research, and Design teams.

View detail

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.

View detail

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.

View detail

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.

View detail

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.