backend developer

Outset

<div>
 Outset invented a better way to do research: AI-powered user interviews.
 
 
 Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.
 
 
 The research industry is massive (&gt;$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.
 
 
 Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025&mdash;less than six months after our Series A&mdash;led by Radical Ventures with participation from M12 (Microsoft&rsquo;s venture arm), 8VC, Y Combinator, and Adverb Ventures.
 
 
 The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.
 
 
 We&rsquo;re a tight-knit team of 40 based in San Francisco&rsquo;s Financial District, serving some of the world&rsquo;s largest enterprises
 
 
 What you will do:
 
 
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 Collaborate closely with the CTO and CEO on strategic technical decisions and product direction.
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 Design, develop, and optimize backend services, APIs, and real-time data processing infrastructure.
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 Implement and refine our in-house Large Language Model and real-time interview technology.
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 Lead projects from initial conception through production deployment, ensuring scalability and reliability.
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 Interface directly with users to gather feedback, understand pain points, and continuously improve our core product.
 
 
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 The ideal candidate will have:
 
 
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 3+ years of software engineering experience building production-grade backend systems.
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 Strong proficiency with Python and Django, including experience building robust APIs.
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 Extensive knowledge of SQL databases (Postgres preferred).
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 Experience deploying and managing services on AWS.
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 Bonus points for familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure.
 
 
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 Benefits
 
 
 
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 Daily collaboration with founders, shaping the core product vision.
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 Exposure to and collaboration with design and research leaders at top global brands.
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 Competitive cash and equity compensation. Actual compensation packages are based on various factors unique to each candidate, including skill set, depth of experience, and certifications.
 
 
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 Outset is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected class.
 
 
 
 Compensation Range: $160K - $300K
 
 
</div>

Backend Software Engineer

Clerkie

<div>
 
 About Clerkie
 
 
 
 Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt.
 
 
 Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures.
 
 
 
 About the role
 
 
 
 We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end product experiences in a fast-moving environment. This role is ideal for someone who is comfortable working across the stack - from backend systems to user-facing applications - and is ready to take meaningful ownership of features and systems.
 
 
 At Clerkie, engineers don't just implement specs. You'll collaborate closely with product and design, contribute to technical decisions, and help shape how features come to life from concept through production. Because we're still early, this role goes beyond execution. You'll play a key role in how we build - contributing to system design, product development, and the overall evolution of our platform.
 
 
 
 Here's what you'll do
 
 
 
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 Build and maintain full-stack features across backend services and user-facing applications
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 Own features end-to-end - from design and implementation through production
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 Contribute to system reliability, performance, and scalability
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 Participate in technical design discussions and architecture decisions
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 Collaborate closely with product and design to deliver high-quality user experiences
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 Improve visibility into system health and performance
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 Contribute to internal engineering practices, tooling, and documentation
 
 
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 Here's a snapshot of what the Engineer team tackled recently
 
 
 
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 Scaled backend systems to support growing enterprise usage
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 Built new infrastructure to support partner integrations
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 Improved system observability and production reliability
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 Supported high-priority product initiatives tied to revenue growth
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 Collaborated closely with leadership on technical direction and tradeoffs
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 Refined how we build, ship, and maintain systems
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 Helped clean up and organize Coda, our internal knowledge hub, to make life easier for future new hires (like you!)
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 Onboarded a new teammate to the Engineering team and updated internal rituals to set them up for success
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 Spent the day on a private yacht in the Bahamas (yep), swimming with pigs, paddleboarding, jet skiing, and joining our team hackathon on a private island
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 And more! From big wins to team traditions, it's been a big year so far and we're just getting started 😎
 
 
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 Must-haves
 
 
 
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 Experience building and shipping full-stack applications in production
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 Strong fundamentals in backend development and system design
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 Proficiency in JavaScript / TypeScript (Node.js and modern frontend frameworks)
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 Experience working with databases (NoSQL experience is a plus)
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 Ability to own features end-to-end and operate independently
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 Strong communication skills across technical and non-technical teams
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 Comfort working in a fast-moving startup environment
 
 
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 Nice-to-haves (but not required)
 
 
 
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 Previous Full-Stack or software engineering experience
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 Experience with cloud infrastructure (e.g., AWS)
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 Experience working on data-intensive or complex applications
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 Familiarity with fintech or regulated environments
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 Experience in early-stage or high-growth startups
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 Curiosity about financial wellness and mission-driven technology
 
 
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 What we value
 
 
 
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 Strong ownership mindset - you take responsibility for outcomes, not just tasks
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 Bias for action - you move quickly and make thoughtful decisions
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 Customer-first thinking - you care about the real-world impact of what you build
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 Resilience and adaptability - you can navigate ambiguity and evolving priorities
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 Desire to build something meaningful and long-lasting
 
 
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 Our salary &amp; benefits
 
 
 
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 💰 Salary range: $120-150k
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 💼 Equity
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 💻 Remote-first role (US only)
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 🧘 Medical, dental, and vision insurance
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 📈 401(k) + retirement benefits
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 🌴 Paid time off + annual company retreat
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 💻 Company laptop + home office stipend
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 💙 Collaborative, values-driven culture
 
 
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 Our Hiring Process
 
 
 
 We believe in a two-way interview process that helps us get to know you&mdash;and helps you get to know us.
 
 
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 Application &amp; Coderbyte
 
 (async candidate time)
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 Recruiting Screen w/ Head of People
 
 (15-20 minutes via Google meet)
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 Take-Home Challenge &amp; Live Review w/ Sr. Engineer
 
 (challenge is async candidate time, live review is 45 mins via Google meet)
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 Live Coding Challenge w/ Sr. Engineer
 
 (90 minutes via Google meet)
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 Final Management Meeting w/ SLT
 
 (45 minutes via Google meet)
 
 
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 Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders. We approach this stage with transparency and sensitivity, and candidates will be provided with clear information about the process.
 
 
 Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
</div>

Full-Stack Engineer

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Full-time 
Compensation: $80&ndash;$110/hour 
Location: Remote
Role Responsibilities<ul><li>
Develop and enhance AI-powered interviewing tools and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows.</li><li>
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements.</li><li>
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#.</li><li>
Experience with scripting languages including Python, PHP, or JavaScript.</li><li>
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul>
Preferred<ul><li>
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants.</li><li>
Familiarity with GraphQL and modern API design patterns.</li><li>
Experience with React ecosystem including Relay for data fetching.</li><li>
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications.</li></ul>
Compensation &amp; Legal<ul><li>
Hourly contractor</li><li>
Paid weekly via Stripe Connect</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Software Engineer I - Entry Level

Java Software Engineer

AI Engineer – Remote Work

PARASAIL

<div><div>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div><h1 class="jobSectionHeader">
The Role</h1>

We&rsquo;re looking for a Senior Fullstack Engineer who wants to own large surface areas of product from database to pixel. You&rsquo;ll build the interfaces, APIs, and systems that thousands of AI engineers interact with daily &mdash; from our real-time inference dashboard and model deployment console to the orchestration APIs that route workloads across a global GPU network.

This isn&rsquo;t a role where you&rsquo;ll be handed pixel-perfect mocks and asked to implement them. You&rsquo;ll shape what we build and how it works, collaborating directly with founders and infrastructure engineers to turn complex distributed systems into products that feel simple and fast.
<h1 class="jobSectionHeader">
What You&rsquo;ll Build</h1>
<ul><li>Inference Platform UI: Design and build the dashboards, model deployment workflows, and real-time monitoring views that our customers use to deploy and manage AI workloads at scale.</li>
<li>APIs &amp; Backend Services: Architect and implement the backend services that power our platform &mdash; model serving endpoints, usage metering, billing integrations, authentication, and developer-facing APIs.</li>
<li>Orchestration Interfaces: Build the frontend and API layers on top of our GPU orchestration engine, giving users intuitive control over routing, caching, scaling, and cost optimization across our global network.</li>
<li>Developer Experience: Own the end-to-end developer experience including API documentation, SDK design, CLI tools, and onboarding flows that make Parasail the easiest inference platform to adopt.</li>
<li>Real-Time Systems: Implement streaming interfaces (SSE/WebSockets) for real-time inference responses, live cost tracking, and deployment status updates.</li>
<li>Data &amp; Analytics: Build internal and customer-facing analytics &mdash; usage dashboards, cost breakdowns, latency distributions, and performance benchmarking tools.</li>
</ul><h1 class="jobSectionHeader">Technical Abilities</h1>
<ul><li>Frontend Engineering: Strong experience with modern frontend frameworks (React, Next.js, or similar). You write clean, performant TypeScript and care about UI/UX details &mdash; loading states, error handling, responsive design, and accessibility.</li>
<li>Backend Development: Deep experience building production backend services in Go, Python, Java, or Node.js. You&rsquo;re comfortable designing RESTful and gRPC APIs, working with relational and NoSQL databases, and implementing auth, rate limiting, and caching layers.</li>
<li>Distributed Systems Fundamentals: Solid understanding of distributed computing principles &mdash; consistency models, fault tolerance, and scalability patterns. You don&rsquo;t need to be a distributed systems PhD, but you should be comfortable reasoning about systems that span multiple services and regions.</li>
<li>Cloud-Native &amp; Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Bonus if you&rsquo;ve worked with Infrastructure as Code (Terraform, Pulumi).</li>
<li>Data &amp; Observability: Experience building data pipelines, analytics dashboards, and integrating observability tools (metrics, logging, tracing). You know how to instrument systems so problems surface before customers notice.</li>
<li>AI/ML Familiarity (Nice to Have): Understanding of LLM technologies, inference optimization (batching, caching, quantization), or model serving platforms like vLLM, TGI, or Triton. If you don&rsquo;t have this yet, you&rsquo;re excited to learn.</li>
</ul><h1 class="jobSectionHeader">Qualifications</h1>
<ul><li>5+ years of professional software engineering experience with significant fullstack ownership (you&rsquo;ve shipped features end-to-end, from UI to database).</li>
<li>Track record of building and scaling web applications or developer platforms used by technical audiences.</li>
<li>Experience working in fast-paced environments where you&rsquo;ve had to make pragmatic trade-offs between speed and quality.</li>
<li>Strong product instincts &mdash; you think about the user experience, not just the code.</li>
<li>Excellent communication skills. You can explain technical decisions to non-technical stakeholders and write clear documentation.</li>
<li>While deep AI experience is not required, a demonstrated ability to learn new technologies quickly and stay current with the rapidly evolving AI landscape is essential.</li>
</ul><h1 class="jobSectionHeader">Why Parasail</h1>
<ul><li>Massive impact at an early stage. We&rsquo;re a small team building infrastructure that powers thousands of AI applications. Your work will be felt by every customer, every day.</li>
<li>Work at the frontier. AI inference is one of the fastest-growing and most technically interesting areas in tech. You&rsquo;ll work alongside engineers who&rsquo;ve built AI companies from scratch and shipped products used by industry leaders.</li>
<li>Full ownership, minimal bureaucracy. No PRDs written by someone three levels away. You&rsquo;ll work directly with founders and ship to production on your own terms.</li>
<li>Competitive compensation. Competitive salary, meaningful equity in a high-growth company, and benefits designed for a distributed team.</li>
</ul>
<div><div><div><div>The AI inference market is projected to dwarf the training market within a few years. Parasail is building the infrastructure layer that makes this possible. If you want to build products that shape how the world runs AI, we&rsquo;d love to hear from you.</div></div></div></div></div></div>

Senior Software Engineer, Fullstack

AI Software Engineer and Talent Acquisition Lead

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