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backend engineer

Tessera Labs

<div>
 At Tessera Labs, we&rsquo;re revolutionizing business process automation with cutting-edge AI technology. Backed by Foundation Capital and led by a world-class founding team, we&rsquo;re building a high-impact engineering group to bring AI-powered automation to the enterprise world.
 
 
 Our multi-agent AI systems transform complex business workflows&mdash;eliminating inefficiencies, optimizing operations, and enabling seamless integrations across platforms like SAP, Salesforce, and Workday. We move fast, solve hard problems, and build at the bleeding edge of AI.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Backend Engineer (Mid-Level) who thrives in a fast-paced, high-ownership startup environment. You&rsquo;ll help design, build, and maintain the backend systems that power Tessera&rsquo;s AI automation platform &mdash; including scalable APIs, data pipelines, and integrations with enterprise systems.
 
 
 This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team.
 
 
 Key Responsibilities
 
 
 Core Development
 
 
 <ul>
 <li>
 Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy).
 </li>
 <li>
 Build reliable microservices that support data processing, automation, and AI system integrations.
 </li>
 <li>
 Implement and optimize database schemas, queries, and caching for performance and scalability.
 </li>
 <li>
 Contribute to data pipelines and synchronization services across enterprise integrations.
 
 
 </li>
 </ul>
 AI &amp; Systems Integration
 
 
 <ul>
 <li>
 Connect backend services with AI model servers, vector databases, and automation workflows.
 </li>
 <li>
 Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday.
 
 
 </li>
 </ul>
 Scalability &amp; Reliability
 
 
 <ul>
 <li>
 Identify and fix performance bottlenecks in backend code and databases.
 </li>
 <li>
 Implement caching, monitoring, and logging to ensure system reliability and observability.
 </li>
 <li>
 Collaborate with DevOps to deploy and maintain cloud-based services on AWS or GCP.
 
 
 </li>
 </ul>
 Security &amp; Quality
 
 
 <ul>
 <li>
 Implement secure authentication and authorization (OAuth2, RBAC, SSO).
 </li>
 <li>
 Follow best practices in code quality, testing, and documentation.
 </li>
 <li>
 Participate in code reviews and contribute to improving backend architecture.
 
 
 </li>
 </ul>
 Collaboration &amp; Ownership
 
 
 <ul>
 <li>
 Work closely with frontend, AI, and product teams to deliver new features.
 </li>
 <li>
 Take initiative in identifying improvements and building practical, scalable solutions.
 </li>
 <li>
 Balance speed and long-term scalability in a fast-moving environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of backend development experience with a focus on APIs, distributed systems, or cloud infrastructure.
 </li>
 <li>
 Proficient in Python, with experience using FastAPI, SQLAlchemy, or similar frameworks.
 </li>
 <li>
 Experience with PostgreSQL/MySQL and data modeling best practices.
 </li>
 <li>
 Familiarity with Redis, message queues (Kafka, RabbitMQ, Pub/Sub), and asynchronous processing.
 </li>
 <li>
 Experience with cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure Blob Storage.
 </li>
 <li>
 Understanding of API authentication, security, and scalability principles.
 </li>
 <li>
 Strong debugging, testing, and performance optimization skills.
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Experience integrating AI/ML models into backend systems.
 </li>
 <li>
 Familiarity with event-driven architectures or workflow automation systems.
 </li>
 <li>
 Prior experience in startups or high-growth tech companies.
 
 
 </li>
 </ul>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 
 
 Compensation Range: $200K - $250K
 
 
</div>

Software Engineer, Backend

M7 Health

<div>
 
 About M7 Health
 
 
 
 M7 Health is the AI-powered workforce operations platform for healthcare, designed for the realities of clinical staffing and scheduling. We use AI to help organizations forecast demand, auto-balance schedules, and deploy the right person to fill every shift before resorting to premium labor spend. The result: health systems reduce overtime, cut contract labor costs, and give clinical leaders time back to focus on care. Built with the earned wisdom of nurses, M7 serves tens of thousands of healthcare professionals daily and activated over 100 net new hospitals across 29 states, last year alone.
 
 
 M7 recently raised a $10M Series A, backed by Threshold and First Round Capital, and we're building the team to match our ambition.
 
 
 
 What You'll Do At M7
 
 
 
 We're looking for a Software Engineer to help us redefine how hospitals manage nursing staff. You'll be a hands-on builder contributing to large technical initiatives and collaborating closely with product managers and healthcare operations experts.
 
 
 
 Your Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Execute With Impact: Deliver high-quality, high-visibility features that power hospital operations nationwide.
 </li>
 <li>
 Leverage AI: Apply AI/ML techniques to enhance scheduling intelligence, streamline workflows, and surface actionable insights for healthcare staff.
 </li>
 <li>
 Architect Solutions: Help design and evolve our backend for reliability, performance, and growth.
 </li>
 <li>
 Collaborate Deeply: Partner with Product, Ops, and Customer teams to turn user needs into elegant, impactful solutions.
 </li>
 <li>
 Maintain Quality: Write clean, well-tested, and maintainable code. Support team productivity through code reviews and best practices.
 </li>
 <li>
 Think Beyond the Code: At our stage, everyone contributes beyond their job description&mdash; whether it's solving customer challenges or refining team processes.
 
 
 </li>
 </ul>
 
 You'll Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle.
 </li>
 <li>
 Full-Stack Proficiency: You're comfortable across the stack and ideally experienced with:
 </li>
 <ul>
 <li>
 Frontend: React, TypeScript, Vite
 </li>
 <li>
 Backend: Node.js, NestJS, TypeORM
 </li>
 <li>
 Database: PostgreSQL
 </li>
 <li>
 Infrastructure: AWS or similar cloud infrastructure
 </li>
 </ul>
 <li>
 Builder's Mindset: You love turning ideas into software and iterating fast based on feedback, and can balance your own contributions with unblocking others on your team.
 </li>
 <li>
 Product Intuition: You think like a user, making tradeoffs that prioritize usability and real-world impact
 </li>
 <li>
 Strong Communicator: You explain complex ideas clearly and collaborate effectively across technical and non-technical teams.
 
 </li>
 </ul>
 
 Hybrid Environment
 
 
 
 We believe a regular cadence of in-person collaboration accelerates learning, reinforces team culture, and drives efficiency for early-stage companies. In this spirit, we work in a hybrid structure, working two days per week in our Manhattan office.
 
 
 Please note that M7 is unable to sponsor or transfer H1B visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship.
 
 
 
 Compensation And Benefits
 
 
 
 This role offers industry-competitive compensation, including cash compensation, equity, and healthcare benefits.
 
 
 
 Equal Opportunity Employer
 
 
 
 At M7 Health, we aim to foster a workplace free from discrimination. We believe that diversity of experience, perspectives, and backgrounds leads to a better environment for our people and a better product for our clients. M7 Health is an equal-opportunity employer and encourages all applicants from every background and life experience to apply.
</div>

Software Engineer

Weekday (YC W21)

<div>
 
 This role is for one of our clients
 
 
 
 Location:
 
 New York City, NY
 
 
 Salary Range:
 
 $150,000 &ndash; $250,000 (Base)
 
 
 
 Requirements
 
 
 
 About the Role
 
 
 
 
 We are seeking a talented and motivated
 
 Software Engineer
 
 to join our growing engineering team in
 
 New York City
 
 . In this role, you will design, build, and scale high-quality software systems that power core products and services. You will collaborate closely with product managers, designers, and other engineers to deliver reliable, scalable, and user-focused solutions.
 
 
 
 This position is ideal for engineers who enjoy solving complex technical problems, building systems from the ground up, and working in a fast-paced, collaborative environment.
 
 
 
 
 Required Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
 
 
 </li>
 <li>
 
 3+ years of professional software engineering experience
 
 
 </li>
 <li>
 
 Strong proficiency in at least one modern programming language (such as Python, Java, Go, JavaScript, or TypeScript)
 
 
 </li>
 <li>
 
 Experience building scalable backend services, APIs, or distributed systems
 
 
 </li>
 <li>
 
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure)
 
 
 </li>
 <li>
 
 Experience with modern software development practices including Git, CI/CD, and automated testing
 
 
 </li>
 <li>
 
 Strong problem-solving and debugging skills
 
 
 </li>
 <li>
 
 Ability to work effectively in a collaborative, cross-functional environment
 
 
 
 
 
 </li>
 </ul>
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 
 Experience building products from early-stage development through scale
 
 
 </li>
 <li>
 
 Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
 
 
 </li>
 <li>
 
 Experience working with modern frontend frameworks (e.g., React)
 
 
 </li>
 <li>
 
 Knowledge of databases such as PostgreSQL, MySQL, or NoSQL systems
 
 
 </li>
 <li>
 
 Interest in emerging technologies such as AI, machine learning, or large-scale data systems
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 
 
 Base Salary:
 
 $150,000 &ndash; $250,000 (depending on experience and qualifications)
 
 
 </li>
 <li>
 
 Competitive equity or bonus opportunities
 
 
 </li>
 <li>
 
 Comprehensive health, dental, and vision benefits
 
 
 </li>
 <li>
 
 Generous paid time off and holidays
 
 
 </li>
 <li>
 
 Professional development and learning opportunities
 
 
 </li>
 <li>
 
 Collaborative and innovative work environment in New York City
 
 
 </li>
 </ul>
</div>

Loop

<div>
 
 About Loop
 
 
 
 Loop is on a mission to streamline the movement of money between shippers, carriers, and brokers to unlock margin and increase liquidity in the supply chain.
 
 
 Today, logistics payments are a big black box that unnecessarily drains thousands, if not millions, of dollars. Legacy services do not meet the market's needs. Transportation teams need a solution that unlocks insights from their complex datasets, rather than drowning them in manual workflows.
 
 
 Loop harnesses AI expertise with deep logistics industry knowledge to deliver automated audits, streamlined resolutions, expedited payments, and most importantly actionable insights. All so that shippers and 3PLs can improve spend visibility, eliminate unnecessary costs, and optimize their transportation spend. Loop&rsquo;s customers see a 4% reduction in costs and an 80% boost in back-office productivity.
 
 
 Loop is a customer-obsessed company that sees the complexity in the supply chain as an opportunity rather than a challenge. Our foundational AI capitalizes on the messiness in the system to maximize outcomes for our customers.
 
 
 Investors include Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise and experience from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, and Rakuten &ndash; as well as traditional logistics companies like CH Robinson.
 
 
 
 About You
 
 
 
 As a full-stack engineer, you will work closely with founders and customers to understand and solve their logistics billing and payment pain points. You will help define the product and ship features that directly impact our customers. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. You will shape the Loop DNA and define how we grow as a company.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work cross-functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
 </li>
 <li>
 Write high-quality code optimized for extensibility.
 </li>
 <li>
 Engage in code reviews to maintain a high bar of engineering excellence.
 </li>
 <li>
 Lead discussions and documentation to communicate and arrive at the best technical design.
 </li>
 <li>
 Work across different component boundaries, from frontend to backend, and even infrastructure layers.
 </li>
 <li>
 Promote better practices and share technical knowledge across the team.
 </li>
 <li>
 Help grow Loop through deliberate feedback on product, process, and culture.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Willing to work in the NYC office three days a week
 </li>
 <li>
 Two years of software engineering experience.
 </li>
 <li>
 Experience with TypeScript and tools such as GraphQL, Relay, React, and Node.js.
 </li>
 <li>
 Experience working at early-stage companies where you shipped products end-to-end and wore many hats.
 
 
 </li>
 </ul>
 
 Under the Hood
 
 
 
 <ul>
 <li>
 Infrastructure: AWS, CDK, Fargate ECS
 </li>
 <li>
 Backend: TypeScript, Node.js, Prisma, NestJS, PostgreSQL, Kafka, Redis, Elasticsearch, GraphQL
 </li>
 <li>
 Frontend: TypeScript, React, Relay, Ant Design, Vite, GraphQL
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Base pay 120k - 190k
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Premium Medical, Dental, and Vision Insurance plans
 </li>
 <li>
 Insurance premiums covered 100% for you
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Fireside chats with industry leading keynote speakers
 </li>
 <li>
 Generous professional development budget to feed your curiosity
 </li>
 <li>
 Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships
 
 
 </li>
 </ul>
 Why you should join Loop?
 
 
</div>

Software Engineer, Full-Stack

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive base + bonus + equity
 </li>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $500/month wellness &amp; commuter benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II

Viam

<div><div>About Viam

Founded by Eliot Horowitz, co-founder and former CTO of MongoDB, Viam is a novel robotics engineering platform that lets you configure, control, and manage robots intuitively and quickly. We&rsquo;re inspiring a generation of engineers to solve complicated automation problems with our uniquely powerful suite of software tools. 
 
We&rsquo;re a ~100-person company headquartered in New York City.</div><div>
The Engineering Challenge

Building software for machines introduces challenges that traditional software systems rarely face. Devices operate in real-world environments, networks are unreliable, and software must interact with hardware, sensors, and real-time data. At Viam, engineers build the platform and tools that make those machines programmable, observable, and manageable at scale.
<h4 class="jobSectionHeader">
About the Role</h4>

New York City (Hybrid 3+ days per week in office)

We are looking for a Lead Engineer to own the technical direction and delivery of our Data/ML function. This is a hands-on leadership role where you will manage a team, make architectural decisions, and code.

The Data/ML team owns the infrastructure that moves data from devices to the cloud and makes it usable across the Viam platform. Performance, reliability, usability, and correctness affect every solution built on Viam. On top of that foundation, the team also owns the ML infrastructure that turns that data into models: training workflows, labeling pipelines, and inference in both cloud and at the edge. Some of the interesting challenges they solve: handling an unusually wide variety of data types from devices that are frequently offline, building auto-labeling and training workflows at scale, and expanding cloud inference across multiple model backends.

Tech stack is Go and Python with a Svelte frontend, running ML workloads on GKE using TensorFlow, TFLite, and ONNX, with MongoDB Atlas, GCP, and Azure for the data layer. You will report to the VP of Engineering.
<h4 class="jobSectionHeader">
What You'll Own</h4>

Engineers at Viam own problems from product design through production and play an active role in shaping how the platform evolves.
<ul>
<li>Lead and develop a team of 5+ engineers: set direction, run planning, ship reliably, and grow the team through coaching, feedback, and performance conversations</li>
<li>Write code and ship features alongside your team across the full stack, from backend infrastructure through UI</li>
<li>Own the architecture of the data pipeline end to end, from device to cloud, including storage, querying, and the APIs that power the rest of the platform</li>
<li>Drive the reliability and performance of ML training and inference infrastructure, from custom training workflows to the services that power auto-labeling and model evaluation</li>
<li>Have opinions on what gets built and how users experience it, and bring those into product decisions early</li>
<li>Own cross-team problems through to resolution, working closely with Computer Vision, Fleet Management, Mobile, and Solutions Engineering</li>
</ul><h4 class="jobSectionHeader">What You Bring</h4>

We are looking for a technical lead with strong systems judgment and product instincts who can set direction and stay hands-on.
<ul>
<li>You have led engineers and know how to develop them, not just manage them</li>
<li>You have a background building and scaling backend or platform infrastructure in production</li>
<li>You have shipped APIs and UIs and think about both as part of the same product problem</li>
<li>You have sound judgment on system design and tradeoffs under real constraints</li>
<li>You have product instincts and use them: when something is being built the wrong way, you say so early</li>
<li>You make decisions with incomplete information and have a bias toward shipping over planning</li>
<li>You have a track record of driving cross-team projects from ambiguity to production</li>
<li>Experience with data-intensive systems, streaming pipelines, or ML infrastructure</li>
</ul>
Experience with robotics or IoT is not required.
<h2 class="jobSectionHeader">
How We Work</h2>

Our culture emphasizes ownership, curiosity, and decisive execution.
<ul>
<li>This space has brand new challenges and we all have an appetite to learn</li>
<li>Good work in production beats perfect work in review</li>
<li>We know that the best teams help each other succeed through feedback</li>
</ul>
The salary for this role is between $220,000 - 250,000 /year. Your exact offer will vary based on factors, including experience level, skillset, market location, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced, or more senior, than this job description as posted. In these situations, the updated salary range will be communicated to you as a candidate.</div><div><h3 class="jobSectionHeader">
Full-time Benefits</h3>
<div>
Viam&rsquo;s base salary range for this role is posted above. In addition to cash compensation, Viam offers a comprehensive Total Rewards package that includes equity grants, health benefits, and more.
<ul>
<li>100% covered medical/dental/vision insurance plans, commuter benefits</li>
<li>25 days paid vacation and generous holiday observances</li>
<li>Free lunch every day that you&rsquo;re in the office</li>
<li>One Medical Membership</li>
<li>Citi Bike memberships</li>
<li>Monthly wellness stipend to be used for a variety of fitness-related items like gym memberships, fitness classes, fitness equipment, and more</li>
<li>Paid parental leave</li>
<li>Reproductive Health Benefits, including Fertility Benefits and Abortion Access Travel Benefits</li>
<li>Yearly Learning and Development Budget for your own personal learning goals</li>
</ul><h3 class="jobSectionHeader">Values:</h3>
<ul><li>Vision Driven</li>
<li>Collaborate Openly</li>
<li>Act Decisively</li>
<li>Succeed Through Diversity</li>
<li>Hold Ourselves Accountable</li>
<li>Lead with Curiosity</li>
</ul><h3 class="jobSectionHeader">To all recruitment agencies:</h3>

Viam does not accept unsolicited agency resumes or calls from recruitment agencies or search firms. Please do not forward resumes to our jobs alias or Viam employees. Viam is not responsible for any fees related to unsolicited resumes.</div></div></div>

Lead Software Engineer, Data Platform

Mercor

<div>
 
 About Mercor
 
 
 
 Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
 
 
 Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
 
 
 
 About The Role
 
 
 
 As a
 
 Software Engineer on Applied AI
 
 , you&rsquo;ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
 
 
 This is a high-ownership, deeply technical role. You&rsquo;ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You&rsquo;ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor&rsquo;s internal teams to ship high-impact applied AI solutions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
 </li>
 <li>
 Build and operate scalable data pipelines for post-training workflows and model evaluations
 </li>
 <li>
 Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
 </li>
 <li>
 Prototype new data types, benchmarks, and evaluation frameworks
 </li>
 <li>
 Lead technical discussions with customers
 
 
 </li>
 </ul>
 
 What Makes This Role Different
 
 
 
 <ul>
 <li>
 Direct frontier exposure. You&rsquo;ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
 </li>
 <li>
 Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.
 
 
 </li>
 </ul>
 
 Day-to-Day
 
 
 
 <ul>
 <li>
 Fast-moving, high-ownership environment
 </li>
 <li>
 Technically demanding, collaborative work
 </li>
 <li>
 &ldquo;Building the plane while flying it&rdquo;
 </li>
 <li>
 In-person culture (SF, 181 Fremont)
 </li>
 <li>
 Aligned with frontier research timelines
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
 </li>
 <li>
 Experience with model training and inference
 </li>
 <li>
 Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
 </li>
 <li>
 Familiarity with evaluation methods for large language models
 </li>
 <li>
 Comfort working through ambiguity and shipping iteratively
 
 
 </li>
 </ul>
 
 You&rsquo;re Likely Someone Who
 
 
 
 <ul>
 <li>
 Enjoys ownership and customer-facing problem solving
 </li>
 <li>
 Thinks entrepreneurially and moves quickly
 </li>
 <li>
 Balances speed with engineering rigor
 </li>
 <li>
 Communicates clearly with technical and non-technical users
 
 
 </li>
 </ul>
 
 Why Engineers Join
 
 
 
 <ul>
 <li>
 Direct exposure to frontier AI research
 </li>
 <li>
 Real ownership and visible impact
 </li>
 <li>
 Technical depth paired with human interaction
 </li>
 <li>
 Fast feedback loops and high leverage
 </li>
 <li>
 There are very few roles that combine this level of technical rigor, customer proximity, and research exposure.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Bi-annual performance bonus structure
 </li>
 <li>
 Generous equity grant vested over 4 years
 </li>
 <li>
 Up to $15k Relocation bonus
 </li>
 <li>
 $10K proximity bonus (if you live within 0.5 miles of our office)
 </li>
 <li>
 $1.5K monthly stipend for meals
 </li>
 <li>
 Free Equinox membership
 </li>
 <li>
 $200 monthly laundry reimbursement
 </li>
 <li>
 $200 monthly personal wellness reimbursement
 </li>
 <li>
 Health, Dental, Vision insurance
 
 
 </li>
 </ul>
 Compensation Range: $130K - $500K
 
 
</div>

Software Engineer, Applied AI

Explore 41+ Backend engineer in New York this June. Find roles across top companies and apply now to boost your career.

41 backend engineer jobs In New York

Software Engineer, Backend

Software Engineer

Software Engineer

Software Engineer, Full-Stack

Software Engineer I / II

Lead Software Engineer, Data Platform

Software Engineer, Applied AI