Software Engineer, Developer Platforms and Generative AI

Thenewyorktimes; New York (NY); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid vacation

Job summary

Thenewyorktimes is looking for a Software Engineer to enhance developer experiences with GenAI. This role involves collaborating with senior engineers to build GenAI-augmented tools and services.

Responsibilities include developing self-service APIs, documenting workflows, and ensuring compliance with guardrails in a collaborative environment. Candidates with experience in cloud-native applications and GenAI tools are encouraged to apply. The position offers a competitive salary of $110,000 to $130,000 and various benefits.

Qualifications

• 3+ years of software engineering experience building cloud-native applications.
• 1–2 years improving developer experience through workflows or internal platforms.
• 1+ years using GenAI tools such as GitHub Copilot daily.

Responsibilities

• Deliver GenAI‑powered developer tooling to improve deployment and usage.
• Contribute to the GenAI developer platform and its integrations.
• Implement guardrails and observability for agentic workflows.

Skills

3+ years of experience in software engineering

Experience with cloud-native applications (Go)

Working with AWS or Google Cloud Platform

Using GenAI tools

High empathy toward coworkers

Tools

GitHub Copilot

Kubernetes (EKS)

Job description

About the Role

As a Software Engineer on the Developer AI team, you will build GenAI‑augmented developer experiences and platform capabilities used across The New York Times. You will work with senior engineers to deliver well‑scoped projects that improve how engineers build, test, and deploy software, defining reusable agent patterns and running custom agents safely on our internal platform.

Responsibilities

• Deliver GenAI‑powered developer tooling such as prompts, IDE integrations, skills, and telemetry, improving deployment and usage.
• Contribute to the GenAI developer platform, including services and integrations built on top of https://www.litellm.ai/ to power local and background/long‑running agents.
• Implement and maintain guardrails and observability for agentic workflows, integrating them with DataDog, DX, and FinOut.
• Partner with platform and product teams to define how engineers build their own agentic workflows and custom agents.
• Deliver self‑service APIs, templates, and documentation that enable safe and easy building and operation of team‑specific agents.
• Experiment with new GenAI and agentic capabilities, evaluate results, and turn successful experiments into scalable paved paths.
• Work with engineers and managers across Product Engineering to understand current practices and design solutions that fit their workflows.
• Demonstrate support for the company’s Values and a strong commitment to the mission of seeking truth and helping people understand the world.

Basic Qualifications

• 3+ years of professional software engineering experience building cloud‑native applications (primarily Go).
• 1–2 years improving developer experience through workflows, documentation, or internal platforms (e.g., CI/CD improvements, internal tooling, onboarding guides).
• 1–2 years working with Amazon Web Services or Google Cloud Platform.
• 1+ years using GenAI tools such as GitHub Copilot, Cursor, or Claude Code daily.
• Experience learning new tools and patterns and asking clear questions when requirements or tradeoffs are ambiguous.
• High empathy toward coworkers and existing solutions; curiosity about how other engineers work and motivation to improve their experience.
• Comfort working in a fast‑evolving GenAI and agentic landscape, where new capabilities, usage data, and experiments inform priorities.

Preferred Qualifications

• 3+ years working with AWS in depth, including designing and operating production services.
• Production experience with Go (Golang), debugging, and helping users or partner teams troubleshoot issues.
• Experience deploying and troubleshooting workloads on Kubernetes (EKS) and related observability tooling.
• Experience in prompt engineering or building AI‑powered internal tools that integrate directly into developer workflows.
• Experience contributing to internal platforms or shared libraries used by multiple teams.
• Experience defining opinionated patterns, guardrails, or internal standards for adopting new tools or workflows, especially in fast‑changing domains like GenAI.

Pay and Benefits

The annual base pay range for this role is $110,000 – $130,000 USD. For U.S. locations you may be eligible for variable pay such as an annual bonus and restricted stock. Benefits may include medical, dental, and vision coverage, Flexible Spending Accounts, a company‑matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement, and professional development programs.

Equal Opportunity

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. We embrace a diverse workforce and encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual’s sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status, or other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

Accommodations

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [e-mail]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.