We are partnering with a rapidly growing technology company developing next-generation AI software designed to transform how businesses manage and execute complex workflows. With a growing focus on enterprise AI adoption, the organization is expanding its engineering capabilities to build the scalable infrastructure needed to power intelligent, automated applications.
The company is seeking a Senior AI Engineer to drive the design and development of core systems supporting its expanding AI ecosystem. This individual will play a key role in building the backend architecture, integration frameworks, and orchestration technologies that allow AI models to interact with enterprise systems, execute multi-step workflows, and deliver dependable results in production environments.
This is an opportunity for an experienced engineer to work across AI infrastructure, distributed systems, and backend engineering while helping establish the technical foundation for a new generation of enterprise AI applications.
Key Responsibilities
Design and develop scalable backend infrastructure that enables AI applications to connect with enterprise APIs, retrieve contextual information, and execute sophisticated business processes.
Build and maintain orchestration frameworks responsible for coordinating LLM interactions, external integrations, internal services, and multi-stage task execution.
Develop reliable workflow and execution systems, including asynchronous processing, task scheduling, persistent state, and lifecycle management.
Create flexible integration architectures that accommodate multiple LLM providers, model-serving platforms, inference technologies, and emerging AI capabilities.
Implement evaluation frameworks and automated testing solutions to assess model performance, application reliability, output consistency, and overall system effectiveness.
Drive platform observability through monitoring infrastructure, distributed tracing, logging, and performance analytics to ensure reliability and operational efficiency.
Collaborate with engineering and product teams to translate evolving AI requirements into scalable, production-ready technical solutions.
Required Experience and Technical Qualifications
Extensive experience in software engineering, with a background in AI platform development, backend infrastructure, machine learning systems, or distributed computing.
Proven experience designing and deploying production-level applications powered by large language models, AI agents, intelligent automation, or LLM-based workflows.
Strong familiarity with contemporary LLM architectures and development frameworks, including model inference, API integrations, function calling, tool execution, and structured outputs.
Demonstrated ability to architect scalable backend services and distributed systems capable of supporting high-volume, mission-critical workloads.
Experience developing workflow orchestration systems, asynchronous processing pipelines, and complex service integrations.
Strong understanding of software reliability, system performance, automated testing, and production monitoring practices.
Compensation and Location
Base Salary: $280,000–$325,000 annually, depending on experience and qualifications.
