Описание

Axios is a growth-focused media company dedicated to helping people get smarter, faster, on what matters. We are looking for a Full Stack Software Engineer who pairs strong product-engineering fundamentals with modern AI-native development practices to build and scale the systems and experiences that power Axios’ core products. At Axios, we deliver clear, trustworthy, and informative news to millions of readers every day. As a Full Stack Software Engineer, you will build the interfaces, services, APIs, and data flows behind our audience-facing products and publishing tools. AI has become a core part of how we build software. You will use coding agents and other AI tools throughout the development lifecycle—from understanding problems and exploring solutions through implementation, testing, review, debugging, documentation, and operation. You will remain accountable for the architecture, quality, security, and product outcomes of everything you ship. You will work with product managers, designers, and engineers across disciplines to build resilient systems that embody Axios’ commitment to clarity and make our readers smarter.

Responsibilities

Deliver high-quality, reliable product features across Axios’ frontend and backend systems, using modern agentic development practices to accelerate delivery and ensuring performance and stability across our publishing and delivery platforms
Own features across the frontend, APIs, business logic, data layer, testing, and production systems
Turn product problems into clear technical plans and reviewable units of work, using AI agents thoughtfully across research, prototyping, implementation, testing, refactoring, and documentation
Create accessible, responsive, and maintainable interfaces using JavaScript or TypeScript, React, and modern web frameworks such as Next.js
Build production services and APIs that support Axios’ products and publishing workflows, and create clear contracts that can be understood and used reliably by people, applications, and AI-powered tools
Identify opportunities where models, agents, retrieval, or intelligent automation can create meaningful value for readers or internal teams
Build those capabilities with clear user controls, measurable behavior, appropriate guardrails, and an understanding of when conventional software is the better solution
Write automated tests, improve performance, and contribute to logging, metrics, tracing, security, and operational reliability
Partner with product, design, quality engineering, and other developers to clarify requirements, explain tradeoffs, and deliver effectively
Participate in code reviews, pairing, onboarding, and mentorship
Understand how technical work supports readers, editorial workflows, and business goals
Improve existing systems through thoughtful refactoring, sound technical decisions, and practical experimentation with emerging engineering approaches

Requirements

2-5+ years of professional software development experience, with production experience in frontend, backend, or full-stack development and the ability to contribute across the stack
Hands-on experience using agentic coding tools—such as Claude Code, Codex, Cursor, GitHub Copilot, or comparable tools—to complete meaningful, multi-step software work, rather than only generating snippets or using autocomplete
Ability to write clear specifications and acceptance criteria, provide relevant context, break work into appropriately scoped tasks, decide what to delegate, and guide an agent when its initial approach is incomplete or incorrect
Ability to review AI-generated code critically, validate assumptions against the actual system, identify security and maintainability risks, and recognize when an agent-produced solution is plausible but wrong
Experience building production interfaces with JavaScript or TypeScript and React, preferably with Next.js or a comparable modern framework
Experience building production services and APIs
Comfortable working in or learning Go or Python
Experience with relational databases, SQL, schema design, transactions, and migrations
Experience with unit and integration testing, accessibility, input validation, authentication, authorization, and common web security practices
Ability to own scoped work, make sound tradeoffs, navigate ambiguity, and connect technical decisions to product and business goals
Ability to evaluate when an AI-assisted or AI-enabled approach creates real leverage and when a straightforward deterministic solution is more appropriate
Ability to explain technical decisions, risks, blockers, and tradeoffs clearly to engineering and cross-functional partners
Curiosity about rapidly changing models, tools, and development practices, paired with an evidence-based approach to evaluating them
Share what works, identify what does not, and help the team improve its practices over time

Nice to have

Experience building production AI-enabled features using model APIs, structured outputs, tool or function calling, retrieval, or agent workflows
Experience evaluating and operating AI-enabled systems through regression tests, evaluation harnesses, tracing, feedback loops, model or prompt versioning, cost and latency monitoring, or human-review paths
Experience extending AI development environments through MCP servers, agent tools, repository instructions, reusable skills or plugins, custom workflows, or automated code review
Production experience with Go or Python
Experience with gRPC, Protocol Buffers, generated clients, or service-oriented architectures
Experience with cloud infrastructure, containers, orchestration, or CI/CD
Experience with caching, background jobs, queues, or asynchronous processing
Experience with CMS, publishing, media, subscription, search, or other consumer-facing products
Experience operating production systems with observability, performance optimization or benchmarking, or accessibility testing

We offer

Starting salary for this role is in the range of $130,000 - $165,000 and is dependent on numerous factors, including but not limited to location, work experience, and skills
401(k) with employer match
Robust PPO and High Deductible health insurance options on the Blue Cross Blue Shield network
Employer Health Savings Account (HSA) contribution for the high deductible health plan option
Dental and vision coverage
Primary caregiver 12-week paid leave
Birth-givers will have an additional 6-8 weeks depending on type of delivery, for a total of 18-20 weeks continuous leave
Generous vacation policy, plus holidays
One mental health day per quarter
Annual learning and development stipend
$100 monthly work-from-home stipend
Tele-mental health services through Headspace
OneMedical membership, including tele-health services
Personal health advocacy resources through HealthAdvocate
Inclusive fertility, hormonal health and family forming benefits through Carrot Fertility
Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies
Increased work flexibility for parents and caretakers
Virtual company-sponsored social events
A strong and positive work environment
A commitment to an open, inclusive, and diverse work culture