full stack engineer

Confido

<div>
 Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. The result: measurable time savings, smarter top- and bottom-line decisions, and the speed to scale.
 
 
 Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more.
 
 
 We&rsquo;ve achieved best-in-class growth and recently raised a $15M Series A led by Footwork Ventures and Y Combinator to accelerate our momentum.
 
 
 
 The Role
 
 
 
 As a Full-Stack Engineer (Early Career) at Confido, you will help build new product features and systems from the ground up. You&rsquo;ll work closely with experienced engineers to develop AI-powered workflows, scale data systems, and create intuitive product experiences for our customers.
 
 
 This is an ideal role for someone early in their career who is excited to learn quickly, take ownership, and make a real impact on a growing product.
 
 
 
 Location:
 
 New York, NY (Relocation supported)
 
 
 
 You may be working on
 
 
 
 <ul>
 <li>
 Build and ship product features across the stack with guidance from the team
 </li>
 <li>
 Contribute to backend systems and data pipelines for financial data processing
 </li>
 <li>
 Support the development of AI-powered workflows (computer vision + NLP)
 </li>
 <li>
 Help design user interfaces that simplify complex financial workflows
 </li>
 <li>
 Collaborate with engineering, product, and occasionally customers to iterate on features
 </li>
 <li>
 Learn quickly and take on increasing ownership over time
 
 
 </li>
 </ul>
 
 Example Problems
 
 
 
 <ul>
 <li>
 Helping build systems to extract data from financial documents
 </li>
 <li>
 Supporting efforts to scale data ingestion from multiple sources
 </li>
 <li>
 Contributing to analytics and forecasting tools for CPG brands
 </li>
 <li>
 Improving user experiences that turn complex data into actionable insights
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Internship, academic project, or equivalent hands-on experience in software engineering
 </li>
 <li>
 Strong programming fundamentals (any language)
 </li>
 <li>
 Interest in backend, full-stack, or AI-driven systems
 </li>
 <li>
 Eagerness to learn, take feedback, and grow quickly
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to backend development, APIs, or data processing
 </li>
 <li>
 Familiarity with AI/ML concepts or tools
 </li>
 <li>
 Strong communication skills and willingness to collaborate
 </li>
 <li>
 Interest in startups and fast-paced, high-ownership environments
 </li>
 <li>
 CS degree (or in progress) or equivalent experience
 
 
 </li>
 </ul>
 
 Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
</div>

New Grad Software Engineer

Pearson

<div>Staff Engineer &ndash; Guided Study
Pearson Learning Studio
Overview
Pearson Learning Studio is seeking a Principal Engineer to lead the technical vision and architecture for our Guided Study platform. This role is designed for a deeply technical leader who thrives at the intersection of modern web architecture and emerging AI technologies, particularly agentic AI systems.
You will serve as a hands-on technical authority, driving architectural decisions, mentoring senior engineers, and shaping next-generation AI-powered learning experiences.
Key Responsibilities
Technical Leadership &amp; Architecture
<ul><li>Define and drive the architecture for scalable, high-performance web applications supporting Guided Study experiences.</li>
<li>Lead system design discussions and make strategic technology decisions across frontend, backend, and AI components.</li>
<li>Architect and implement AI-powered workflows using agentic AI frameworks and LLM-based systems.</li>
<li>Design and optimize data pipelines and backend services using Java, Python, and SQL.</li>
<li>Ensure best practices in scalability, observability, performance, and security.</li>
</ul>AI &amp; Intelligent Systems Development
<ul><li>Develop and integrate at least one Large Language Model (LLM) into production workflows.</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) pipelines.</li>
<li>Apply advanced prompt engineering techniques to improve learning personalization and response quality.</li>
<li>Evaluate emerging AI technologies and define roadmap integration strategies.</li>
</ul>Full-Stack Engineering
<ul><li>Lead frontend architecture using ReactJS .</li>
<li>Develop backend systems using Java and Python .</li>
<li>Design and optimize relational databases and complex SQL queries.</li>
<li>Ensure clean API design and seamless frontend-backend integration.</li>
</ul>Cross-Functional Collaboration
<ul><li>Partner closely with Product, Data Science, UX, and Content teams to deliver intelligent learning features.</li>
<li>Mentor senior engineers and influence engineering standards across the organization.</li>
<li>Contribute to technical strategy and long-term platform evolution.</li>
</ul>Required Qualifications
<ul><li>10+ years of experience in design, architecture, and development of web applications.</li>
<li>Strong hands-on experience in:</li>
<li>Agentic AI systems</li>
<li>At least one Large Language Model (LLM)</li>
<li>Prompt Engineering</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Full-stack development expertise in:</li>
<li>ReactJS</li>
<li>Java</li>
<li>Python</li>
<li>SQL</li>
<li>Demonstrated experience designing scalable, distributed systems.</li>
<li>Strong analytical, problem-solving, and system-thinking capabilities.</li>
<li>Excellent communication and collaboration skills.</li>
<li>Proven ability to work effectively in cross-functional teams.</li>
</ul>Preferred Qualifications
<ul><li>Experience deploying AI systems in production environments.</li>
<li>Familiarity with vector databases and embedding pipelines.</li>
<li>Experience with cloud-native architectures (AWS, Azure, or GCP).</li>
<li>Experience in EdTech or learning platforms.</li>
</ul>This is a hybrid work setup, where the candidate will be required to work three days onsite at our Hoboken office.
Applications will be accepted through April 24. This window may be extended depending on business needs.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:
The full-time salary range for this role is between $150,000 - $180,000
This position is eligible to participate in an annual incentive program
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: Corporate Human Resources
Schedule: FULL\_TIME
Workplace Type: On-site
Req ID: 23863</div>

Staff Software Engineer - AI

LM Studio

<div><h2 class="jobSectionHeader">The Role</h2>
We're looking for a talented, hungry, and technically excellent Application Engineer to join our team.
In this role you will dream up, build, and ship LM Studio features to millions of users worldwide, at a fast clip. You will be intermixing UI work with systems engineering, design, and applied AI / agentic engineering work.
You may be a good fit if you love building software products, have an innate talent for crafting product experiences, and you approach technical problems with a scientific method mindset. Holistic understanding of software systems and the ability to work across the stack is a must. Experience building desktop applications is a big plus, but not required.
This role is in-person in our New York City office. Relocation assistance is possible. In your application, please share technical details about your expertise and things that you've built.
Relevant experience: React, TypeScript, Electron, Swift, Objective-C, C++.<h2 class="jobSectionHeader">
LM Studio</h2>
We aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.<h2 class="jobSectionHeader">
Our Interview Process</h2>
We are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work.
Compensation Range: $175K - $275K</div>

Application Engineer

Cyera

<div>WHO WE ARE
Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera&rsquo;s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world&rsquo;s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. 
THE OPPORTUNITY
Cyera's analytics engineering team builds and operates an internal analytics and AI platform that serves as the company's central hub for data exploration, dashboards, and AI-powered insights. The platform supports go-to-market teams and powers customer-facing data products.
As a Senior Full Stack Engineer, you'll co-own the platform alongside a small, high-impact team. This is a backend-heavy full-stack role: you'll spend most of your time in Python and AWS, with meaningful React/TypeScript work on the frontend. The platform integrates deeply with LLMs (Amazon Bedrock), Snowflake, and internal data pipelines, so you'll work at the intersection of software engineering, data infrastructure, and applied AI.
This is not a typical internal tools role. The platform is actively replacing third-party BI tooling, has growing executive adoption, and is expanding in scope. You'll ship features that are used daily by leadership and cross-functional teams, with short feedback loops and high visibility. 
RESPONSIBILITIES:<ul><li>
Design, build, and maintain backend services powering the analytics platform (Python/FastAPI, DynamoDB, S3, AWS ECS).</li><li>
Develop and improve the React/TypeScript frontend, including the dashboard builder, data visualization, admin panels, and session management UI.</li><li>
Build and maintain LLM agent integrations, including tool orchestration, prompt management, and multi-agent workflows using Amazon Bedrock.</li><li>
Own platform reliability: session persistence, streaming stability, error handling, timeout management, and performance optimization.</li><li>
Design and implement role-based access control (RBAC), user provisioning (Okta), and data access policies.</li><li>
Build data visualization features, including chart rendering, SQL-driven widgets, interactive filters, and exportable reports.</li><li>
Collaborate with the analytics engineering team on Snowflake query patterns, dbt model integration, and data pipeline connectivity.</li><li>
Manage deployment infrastructure including ECS task definitions, CI/CD pipelines, and environment configuration.</li><li>
Participate in code reviews and help establish engineering standards as the platform team grows.</li></ul> 
Requirements: 
 
REQUIRED QUALIFICATIONS:<ul><li>
5+ years of professional software engineering experience, with at least 2 years building production web applications.</li><li>
Strong Python skills with production experience building APIs in FastAPI.</li><li>
Working proficiency in TypeScript and React (or equivalent modern frontend framework).</li><li>
Experience with AWS services, particularly ECS/Fargate, DynamoDB, and S3</li><li>
Solid understanding of REST API design, authentication/authorization patterns, and service architecture.</li><li>
Comfortable with SQL and working alongside data teams that use Snowflake and dbt.</li><li>
Experience with CI/CD, containerized deployments (Docker), and infrastructure debugging.</li><li>
Self-directed and comfortable owning features end-to-end in a small team with minimal hand-holding.</li></ul> 
PREFERRED QUALIFICATIONS:<ul><li>
Experience integrating LLMs or AI models into production applications (prompt engineering, tool calling, streaming responses).</li><li>
Background in data visualization, charting libraries (D3, Recharts, Plotly), or BI platform development.</li><li>
Experience with DynamoDB data modeling, including GSI design and access pattern optimization.</li><li>
Familiarity with data warehousing concepts and analytics workflows.</li><li>
Prior experience in a high-growth SaaS or cybersecurity environment.</li><li>
Comfort working across the stack. You don't need to be a frontend specialist, but you're not afraid of CSS.</li></ul> 
COMPENSATION INFORMATION:
Compensation Range: $200,000-$220,000.
The range represents total compensation, and may include incentive for sales roles, equity or benefits, as applicable.
This compensation range represents Cyera&rsquo;s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera&rsquo;s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee&rsquo;s work experience, skills, and qualifications for the role, as well as the needs of Cyera&rsquo;s business and other operational considerations.
Final compensation will vary based on seniority and relevance of experience, location, and position requirements.
This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. 
BENEFITS - Why Cyera?<ul><li>
Ability to work remotely, with office setup reimbursement</li><li>
Competitive salary</li><li>
Unlimited PTO</li><li>
Paid holidays and sick time</li><li>
Health, vision, and dental insurance</li><li>
Life, short and long-term disability insurance</li></ul></div>

Senior Fullstack Engineer - US

Counsel Health

<div>
 We are seeking a talented, driven, and fast-moving
 
 Fullstack Software Engineer
 
 to join us in defining the future of AI + human healthcare. This is a
 
 hybrid role
 
 located in either our New York City, Flatiron office or Boston (office soon to come).
 
 
 You will have significant responsibility and ownership over our product, along with the opportunity to shape the future of our engineering organization. You will work cross-functionally with product, clinical, and commercial teams while interfacing with prominent healthcare organizations nationwide as we lead the future of AI in clinical care.
 
 
 Our engineering work spans a range of disciplines, including full-stack web development, data infrastructure, mobile development, and AI/MLOps. Our culture is fast-paced and ambitious, and we aim for every team member to be exceptional.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Working closely with our Product and Design teams to ship and iterate on unique product experiences in AI-enabled care that improve patient engagement and outcomes
 </li>
 <li>
 Working closely with our ML research team to bring cutting-edge AI/LLM techniques into clinical care and implement these features in production
 </li>
 <li>
 Improving our physician-facing care platform and integrating AI tooling to increase physician efficiency and clinical capabilities
 </li>
 <li>
 Building robust integrations with large enterprise clients, including EMR integrations with healthcare providers, claims data structuring with health plans, and HIE records parsing
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2+ years of professional experience, ideally with experience working at startups or fast-moving companies
 </li>
 <li>
 Proficiency in our tech stack: React (Typescript), NextJs, React Native, Postgres (Supabase), HTML/CSS (Tailwind), AWS Infrastructure
 </li>
 <li>
 Experience building at scale, serving hundreds of thousands of end-users and large enterprise clients
 </li>
 <li>
 Opinionated about up-leveling your own engineering skills and the team around you
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You are a self-motivated, creative doer who takes ownership of broad initiatives and drives them to completion, navigating ambiguity with ease
 </li>
 <li>
 You have hands-on experience building consumer-facing products from the ground up in a high-growth, startup environment
 </li>
 <li>
 You thrive on working alongside exceptional teammates and derive energy from fast-moving collaborative environments
 </li>
 <li>
 You are familiar with AI/ML concepts and excited to work on the frontier of AI applications
 
 
 </li>
 </ul>
 
 Location for this role:
 
 
 
 NYC - hybrid, Boston - hybrid, East Coast - remote
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Impact: Be at the forefront of AI-augmented care delivery, tackling some of the most ambitious challenges in healthcare.
 </li>
 <li>
 Growth: Professional development and leadership opportunities within a rapidly expanding tech-enabled care delivery organization.
 </li>
 <li>
 Exposure: Gain hands-on experience in scaling a fast-growing healthcare technology company and directly interface with executives at the world&rsquo;s leading healthcare organizations.
 </li>
 <li>
 Compensation: Competitive salary and equity options.
 </li>
 <li>
 Benefits: Competitive healthcare, vision, and dental, 401K, Unlimited PTO, snacks and free lunch at the office.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 <ul>
 <li>
 Patients come first. We are clinicians 1st, technologists 2nd. We act with patient trust/safety at the center of every decision.
 </li>
 <li>
 Innovate with optimism. We are optimistic as we build the future of care delivery from first principles. Challenge the status quo when needed, no sacred cows.
 </li>
 <li>
 Right answer wins. Debate openly and pick the strongest path. We optimize for the company, not functions. We win and lose as a team.
 </li>
 <li>
 Simplicity over complexity. We choose clear, elegant solutions and avoid adding complexity that does not serve patients or the team.
 </li>
 <li>
 Do fewer things, well. We focus, and hold ourselves to the highest bar and pursue excellence in those areas.
 
 
 </li>
 </ul>
 
 About Counsel
 
 
 
 Counsel&rsquo;s mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we&rsquo;re building the first fully-vertical, AI-native medical group from the ground up. We&rsquo;ve redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [learn more on our blog]
 
 
 Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have
 
 raised over $35M
 
 from a16z, Google Ventures, Pear VC and other top-tier VC firms.
 
 
 Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (Google, DeepMind, NVIDIA, MIT, Stripe) &mdash; and we&rsquo;re looking for exceptional people to join us as we scale.
 
 
 Join us as we build the future of AI in healthcare!
 
 
 
 
 Recruitment Fraud Notice
 
 
 
 Counsel Health only communicates with candidates using official @
 
 
 counselhealth.com
 
 
 email addresses. We will never ask for payment or financial information during the interview process. If you receive suspicious outreach claiming to be from Counsel Health, please contact us at
 
 
 careers@counselhealth.com
 
 
 .
 
 
 
</div>

Software Engineer (Fullstack)

ReadMe

<div>
 
 📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
 
 
 
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 
 
 We&rsquo;re at the forefront of a major shift in developer experience:
 
 
 <ul>
 <li>
 AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
 </li>
 <li>
 At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
 
 
 </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 
 
 🦉 What we do
 
 
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
 
 
 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
 
 
 ✅ What you&rsquo;ll do here
 
 
 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
 
 
 ReadMe's AI surface spans three bets we're doubling down on:
 
 
 <ul>
 <li>
 Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
 </li>
 <li>
 Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
 </li>
 <li>
 APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
 
 
 </li>
 </ul>
 Day to day, you&rsquo;ll:
 
 
 <ul>
 <li>
 Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
 </li>
 <li>
 Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
 </li>
 <li>
 Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
 </li>
 <li>
 Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
 </li>
 <li>
 Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
 </li>
 <li>
 Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
 </li>
 <li>
 Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
 
 
 </li>
 </ul>
 💙 You'll love this job if you...
 
 
 <ul>
 <li>
 Want to own meaningful systems end-to-end, not just features.
 </li>
 <li>
 Care deeply about developer experience and documentation quality.
 </li>
 <li>
 Enjoy working on problems where AI, APIs, and product design intersect.
 </li>
 <li>
 Have strong instincts about what makes AI actually useful and where the industry is headed.
 
 
 </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
 
 
 <ul>
 <li>
 Experience building with LLMs in production, not just prototypes.
 </li>
 <li>
 Strong JavaScript/TypeScript or Python experience.
 </li>
 <li>
 Experience working with:
 </li>
 <ul>
 <li>
 Embeddings and retrieval systems (RAG).
 </li>
 <li>
 Prompting and structured outputs.
 </li>
 <li>
 Evaluation and iteration of AI systems (quality, latency, cost).
 </li>
 </ul>
 <li>
 Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
 </li>
 <li>
 Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
 </li>
 <li>
 Strong instincts around when to use AI vs. deterministic approaches.
 </li>
 <li>
 Experience improving AI reliability, observability, and production readiness.
 </li>
 <li>
 Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
 
 
 </li>
 </ul>
 🌱 How you'll grow within one month...
 
 
 <ul>
 <li>
 Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
 </li>
 <li>
 Ship meaningful improvements to existing AI features.
 </li>
 <li>
 Get close to real customer workflows and pain points.
 
 
 </li>
 </ul>
 🪴 Within a few months, you'll...
 
 
 <ul>
 <li>
 Own a core part of one of our AI systems.
 </li>
 <li>
 Drive improvements in quality, reliability, and user experience.
 </li>
 <li>
 Contribute to product and technical direction.
 
 
 </li>
 </ul>
 🌳 Within your first year, you'll...
 
 
 <ul>
 <li>
 Be a key driver of AI across the product.
 </li>
 <li>
 Ship systems used daily by thousands of developers and teams.
 </li>
 <li>
 Help define how AI reshapes developer hubs and API workflows.
 
 
 </li>
 </ul>
 🛣️ What's the hiring process like?
 
 
 <ul>
 <li>
 We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
 </li>
 <li>
 If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
 </li>
 <li>
 Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
 </li>
 <li>
 We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
 </li>
 <li>
 Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
 </li>
 <li>
 We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
 
 
 </li>
 </ul>
 
 ✨ Our Benefits Include&hellip;
 
 
 
 <ul>
 <li>
 Unlimited PTO with a three-week minimum. 🏝️
 </li>
 <li>
 Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
 </li>
 <li>
 A One Medical membership. 👨&zwj;⚕️
 </li>
 <li>
 A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
 </li>
 <li>
 One-to-one donation matching of up to $1,000 per year. 💸
 </li>
 <li>
 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
 </li>
 <li>
 Work from home. 🏠
 </li>
 <li>
 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
 </li>
 <li>
 Take a look at our handbook for more information on our benefits! 📘
 
 
 </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
 
 
 
 At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
 
 
 
</div>

AI Engineer

Rokt

<div>
 Rokt is a global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt's AI Brain and ecommerce Network powers 10 billion+ transactions per year for hundreds of millions of customers, and is trusted to do this by the world's leading companies.
 
 
 We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue&mdash;and often all their profits&mdash;from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.
 
 
 
 We are looking for Junior Software Engineers
 
 
 
 At Rokt, we practice transparency in career paths and compensation. We have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability.
 
 
 Target total compensation of $90,000 - $170,000, including a fixed annual salary of $85,000 - $150,000, an employee equity plan grant, and world-class benefits.
 
 
 Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.
 
 
 
 
 About The Role:
 
 
 
 
 This is an entry-level/early career role designed to help you grow as a Builder (engineer) while contributing to meaningful work. You will learn from experienced colleagues and gain hands-on experience building a diversity of services, from internal tools through to Rokt's internet scale production systems.
 
 
 You will build broad knowledge and experience across systems, software, data, and data science, with regular opportunities to work across different domains and teams as you grow as a Builder at Rokt.
 
 
 
 
 Requirements
 
 
 
 
 
 What You'll Do
 
 
 
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 Design &amp; Build Innovative Products: Develop and iterate on next-generation ecommerce features and services, leveraging your computer science fundamentals and AI tooling to create &amp; improve intelligent, personalized ecommerce experiences.
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 Accelerate Development with AI: Leverage AI tools and automation to speed up coding, testing, and deployment, so you and other builders can focus on creative problem-solving and quality.
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 Full-Stack Product Ownership: Work across the entire product lifecycle - from ideation and prototyping to implementation and continuous improvement - ensuring each feature delivers real value.
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 Collaborate &amp; Innovate: Partner with product managers, designers, and other engineers to conceptualize and implement AI-driven solutions that enhance user experience and drive business outcomes.
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 Optimize &amp; Scale: Identify performance bottlenecks and opportunities for improvement in our systems. Use data insights to refine user interfaces, optimize algorithms, and ensure our platform can scale to billions of transactions.
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 Drive Revenue Growth: Spearhead the development and deployment of innovative features and capabilities that directly drive growth of the business, with the potential to generate millions of dollars in additional revenue.
 
 
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 </ul>
 
 
 Who You Are
 
 
 
 
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 AI-Enthusiast &amp; Quick Learner: You embrace new technologies on the forefront of AI development and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve.
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 Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you're excited to solve.
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 Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren't afraid to navigate ambiguity&mdash;figuring things out independently when needed.
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 Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed.
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 Driven &amp; Results-Oriented: You set high standards for your work, take pride in delivering quality, and continually seek to improve. You care about the impact of your code on the business and customers.
 
 
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 Benefits
 
 
 
 
 
 About The Benefits:
 
 
 
 We Leverage Best-in-class Technology And Market-leading Innovation In AI And ML, With All Of That Being Underlined By Building And Maintaining a Fantastic And Inclusive Culture Where People Can Be Their Authentic Selves, And Offering a Great List Of Perks And Benefits To Go With It:
 
 
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 Become a shareholder. Every Rokt'star gets equity in the company
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 Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
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 Extra leave (bonus annual leave, sabbatical leave etc.)
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 Work with the greatest talent in town
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 See the world! We have offices in New York, Seattle, Sydney, Tokyo and London.
 
 
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 We believe we're better together. We love spending time together and are in the office most days (teams are in the office minimum 4 days per week).
 
 
 We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing &amp; keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.
 
 
 Note on Recruitment Process: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.
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Junior Software Engineer

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