Python Developer

Job Title: Python Developer / AI Engineer Contract: 18-month W2 contract

Location:
New York City, NY / Jersey City, NJ Pay Rate: $60–$68 per hour

About The Company
LinkedIn is a professional network that helps people connect, discover opportunities, and develop their careers. The organization uses technology to create products and services for members and businesses around the world. This opportunity supports the development of a generative AI platform and related business applications, with an emphasis on reliable engineering, thoughtful integration, and production-quality delivery.

About The Role
LinkedIn is seeking a Senior Python Developer / AI Engineer for an 18-month W2 contract based in New York City or Jersey City. In this hands-on role, you will design, build, and deliver a GenAI platform and business use cases that integrate AI-powered capabilities into practical workflows. The primary focus is strong Python engineering, sound software architecture, and the development and support of production-ready applications. Familiarity with large language models, retrieval-augmented generation, and AI orchestration is valuable, but deep AI expertise is not required. You should be comfortable independently solving technical problems, writing code, and making sound engineering decisions. Candidates must be able to demonstrate coding ability without relying on AI assistance during interviews or technical assessments. Qualifications Required qualifications include at least seven years of professional Python development experience; internships do not count toward this requirement. You should have strong knowledge of Python fundamentals, data structures, error handling, application architecture, and established software development practices. Professional experience developing, deploying, and maintaining production-grade applications is essential. Experience building APIs and backend services with FastAPI, working in Unix or Linux environments, and using scripting tools is also required. Candidates should have experience with relational and NoSQL databases, along with the ability to write clean, maintainable, scalable, and reliable code. Strong analytical thinking, independent problem-solving, clear communication, and the ability to collaborate in a fast-paced environment are important. Familiarity with LLM concepts, GenAI application development, RAG patterns, retrieval, and orchestration is beneficial. Additional relevant exposure may include agentic AI, multi-agent systems, Google Agent Development Kit (ADK), Model Context Protocol (MCP), event-driven workflows, TensorFlow, PyTorch, or integrating AI technologies into production applications. These capabilities are preferred, not mandatory; practical engineering fundamentals take priority. Responsibilities Design, develop, and deliver the GenAI platform and associated business use cases from initial architecture through implementation. Build scalable, resilient, maintainable, and reusable application components, and develop Python services that integrate AI capabilities into business workflows. Create software integrations across AI platforms, applications, and supporting infrastructure. Contribute to technical planning and coordinate with cross-functional teams to deliver high-quality solutions. Improve software development lifecycle automation and support initiatives that strengthen platform performance, scalability, and resiliency. Research and prototype emerging technologies where they may address business needs. Apply engineering best practices for architecture, code quality, testing, error handling, deployment, and production support. Share knowledge and mentor colleagues on software design, coding standards, and effective development practices. Benefits This is an 18-month W2 contract with an hourly pay range of $60–$68, based on qualifications and experience. The role offers the opportunity to contribute to a GenAI platform, work on production applications, and collaborate with technical teams on meaningful business use cases. Contract benefits and eligibility details are provided during the hiring process. Equal Opportunity LinkedIn is committed to providing equal employment opportunities. Qualified applicants will be considered without regard to characteristics protected by applicable law. We welcome candidates with diverse experiences and perspectives who meet the role’s requirements and can contribute to an inclusive, respectful workplace.