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ai engineer – remote | $40 –$50/hr Jobs in New York

ai engineer – remote | $40 –$50/hr

ai operations engineer

Mayfield

<div>
 Cube
 <br/>
 <br/>
 Software Engineering, Operations, Data Science
 <br/>
 <br/>
 New York, NY, USA
 <br/>
 <br/>
 USD 120k-140k / year + Equity
 <br/>
 <br/>
 Posted on Apr 17, 2026
 <br/>
 <br/>
 Apply now
 <br/>
 <br/>
 Location
 <br/>
 <br/>
 New York, New York
 <br/>
 <br/>
 Employment Type
 <br/>
 <br/>
 Full time
 <br/>
 <br/>
 Location Type
 <br/>
 <br/>
 Hybrid
 <br/>
 <br/>
 Department
 <br/>
 <br/>
 Finance &amp; Operations
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $120K &ndash; $140K
  </li>
  <li>
   Offers Equity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cube is the financial intelligence platform built for the AI-era.
  <br/>
  <br/>
 </strong>
 The world has evolved, but FP&amp;A is still trapped in manual reconciliation cycles. While most platforms try to replace the spreadsheets finance teams love, Cube is different: we are the intelligent finance layer that unifies fragmented data into a centralized command center. By automating data management, we empower the Office of the CFO to stop moving numbers and start driving the strategic analysis that turns data into growth.
 <br/>
 <br/>
 We don&rsquo;t compete with AI; we make it trustworthy. In a world where AI is often only 80% right, Cube provides the 100% truth and governance finance teams need to turn data into growth. Our mission is clean data, everywhere, allowing the modern Office of the CFO to move beyond manual data management and lead with strategic certainty.
 <br/>
 <br/>
 Cube has raised &gt;$65M and is backed by top-tier investors such as Battery Ventures and Mayfield. We&rsquo;re also proud to be recognized by Forbes as one of the Best Places to Work in 2026. Together, we&rsquo;re building a culture that challenges and celebrates everyone with a path to growth. We&rsquo;re guided by our company values: act with urgency, keep it simple, build with joy, obsess over the details, own the outcome, raise the bar, champion our customers, and win together. As we enter our next phase of growth, we believe having the right Cubers on our team will be the reason we win.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are hiring an AI Operations Engineer to build the technical systems that keep our organization aligned. In this role, you will ensure that every department is operating from the same source of truth by deploying AI tools that bake our brand guidelines, messaging, and sales plays directly into daily workflows. You will serve as the bridge between high-level company strategy and the automated systems that make that strategy easy to execute at scale. This is a highly cross-functional role focused on enablement, operational efficiency, and building AI infrastructure that helps teams move faster with consistency and confidence.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain AI assistants or guardrails that review internal and external communications for alignment with approved messaging and brand standards.
  </li>
  <li>
   Develop and manage RAG systems so Sales, Support, and internal teams receive answers based only on current, approved documentation.
  </li>
  <li>
   Create automated workflows that transform product updates into tailored talk tracks, Slack updates, enablement content, and email templates for different departments.
  </li>
  <li>
   Build internal AI agents that coach employees on processes such as deal desk approvals, messaging guidance, and internal operations.
  </li>
  <li>
   Embed AI functionality into tools such as Slack, Salesforce, and Guru so support is available directly in the flow of work.
  </li>
  <li>
   Conduct regular audits of AI outputs to prevent messaging drift and ensure systems are using the most recent business strategy and approved content.
  </li>
  <li>
   Maintain a centralized, version-controlled library of tested prompts and workflows that drive accurate, repeatable outputs.
  </li>
  <li>
   Track usage analytics and adoption trends to identify enablement gaps, workflow inefficiencies, or areas where messaging is not sticking.
  </li>
  <li>
   Ensure all internal data used in AI systems remains secure and aligned with company privacy and compliance standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong proficiency in Python and experience connecting business systems through APIs.
  </li>
  <li>
   Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, or similar tools.
  </li>
  <li>
   Experience working with vector databases such as Pinecone, Weaviate, or related technologies.
  </li>
  <li>
   Experience with automation platforms such as n8n, Zapier, or Make to connect AI workflows across business systems.
  </li>
  <li>
   Ability to programmatically enforce structured outputs such as JSON, templates, or workflow logic to ensure consistency.
  </li>
  <li>
   Strong systems thinking with the ability to build scalable solutions that solve problems across teams.
  </li>
  <li>
   Excellent communication skills and the ability to work cross-functionally with GTM, Operations, Product, and Leadership teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience supporting go-to-market teams such as Sales, Customer Success, or Marketing.
  </li>
  <li>
   Experience integrating AI tools into CRM or enablement platforms such as Salesforce, HubSpot, or Guru.
  </li>
  <li>
   Familiarity with prompt version control, model evaluation, and internal AI governance best practices.
  </li>
  <li>
   Experience in a high-growth startup environment where speed, ownership, and adaptability are essential.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The annual base salary for this role ranges from $120,000 to $140,000 USD.
  <br/>
  <br/>
 </strong>
 The expectations above are meant to represent the ideal candidate, but if you don&rsquo;t meet all of them and think you&rsquo;d be a great fit for this role, please apply. This position is open to candidates who are authorized to work in the posted location. Immigration sponsorship is not available at this time.
 <br/>
 <br/>
 <strong>
  Full-Time Employee Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We provide 100% covered employee medical, dental, and vision insurance options, including FSA/HSA options plus free memberships to OneMedical, Teladoc, and Talkspace.
  </li>
  <li>
   Our flexible paid vacation and sick/mental health time guidelines help you get the time and space you need.
  </li>
  <li>
   We offer stock options to all full-time employees of Cube, as we want you to be connected to the success of the company.
  </li>
  <li>
   We offer 12 weeks of 100% paid parental leave for the birthing parent.
  </li>
  <li>
   We offer each Cuber a quarterly learning budget to spend on books, classes, or events that support your development.
  </li>
  <li>
   You&rsquo;ll be joining an experienced team of tech startup leaders who are eager to work with you and provide support and mentorship!
  </li>
  <li>
   You&rsquo;ll work for a company that our customers are truly excited about!
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $120K - $140K
 <br/>
 <br/>
 Apply now
 <br/>
 <br/>
 See more open positions at Cube
 <br/>
 <br/>
</div>


AI Operations Engineer

James Search Group

<div>
 <p>
  <strong>
   AI/ML Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Global P&amp;C Insurance
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role and the company.
  </strong>
 </p>
 <p>
  James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
  <strong>
   AI/ML Engineer
  </strong>
  to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
  </li>
  <li>
   Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
  </li>
  <li>
   Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
  </li>
  <li>
   Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
  </li>
  <li>
   Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
  </li>
  <li>
   Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
  </li>
  <li>
   Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
  </li>
  <li>
   Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
  </li>
  <li>
   Familiarity with actuarial concepts or insurance-specific data models.
  </li>
  <li>
   Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
  </li>
  <li>
   Comfortable in a collaborative, fast-paced, and agile working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply today
  </strong>
  to help reshape the future of insurance through data and AI innovation.
 </p>
</div>


Machine Learning Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><div><div><div><p><b><br>
Lead Software Engineer | Software Engineer III] &ndash; CMAS Strategic Initiatives</b>
</p></div><div><div>As a Software Engineer in the Customized Managed Account Solutions (CMAS) team, you will design and build software and AI capabilities, powering a new platform for customization and implementation of investment solutions. The Strategic Initiatives team is focused on building software, AI, and human solutions that meet increasingly customized and complex client needs in a scalable and integrated way. The ideal candidate for this role is interested in developing impactful solutions over pure technical problems, understanding the business and domain, and connecting with teammates and partners.
</div></div><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li><div>Architect, develop, test, and maintain software and AI systems
</div></li></ul></div><div><ul><li><div>Work with stakeholders and subject matter experts to gather and understand functional requirements, translating business needs into technical solutions
</div></li></ul></div><div><ul><li><div>Work across multiple codebases and technology stacks to deliver integrated, cross-functional solutions
</div></li></ul></div><div><ul><li><div>Collaborate with engineering peers through code reviews and knowledge sharing
</div></li></ul></div><div><ul><li><div>Operate and improve software development life-cycle processes
</div></li></ul></div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>[3+|5+] years of experience in software development
</div></li></ul></div><div><ul><li><div>Experience with AI coding techniques (what&rsquo;s in your claude.md file?)
</div></li></ul></div><div><ul><li><div>Proficient in Python, Django, Pandas, and Object-Oriented Programming principles
</div></li></ul></div><div><ul><li><div>Strong knowledge of SQL and exposure to PostgreSQL / MongoDB
</div></li></ul></div><div><ul><li><div>Working proficiency in developmental toolsets such as PyCharm, Git / BitBucket, AWS, and Jira
</div></li></ul></div><div><ul><li><div>Experience building or integrating AI-powered features into applications
</div></li></ul></div><div><ul><li><div>Clear understanding of Agile-Scrum software development lifecycle
</div></li></ul></div><div><ul><li><div>Strong communication (written and oral) and analytical problem-solving skills
</div></li></ul></div><div><ul><li><div>Strong sense of attention to detail, accountability, and pride in delivering high-quality work
</div></li></ul></div><div><ul><li><div>Ability to work collaboratively in teams to achieve organizational goals
</div></li></ul></div><div><ul><li><div>Willingness to learn new technologies and work across multiple frameworks and codebases
</div></li></ul></div></div><div><div><ul><li><div>BE/BSc degree in Computer Science, Engineering, or equivalent experience
</div></li></ul></div><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>Polyglot programming skill and affinity, and experience with various technology frameworks. A tolerance for figuring out different frameworks, not an unshakeable preference for one over another.
</div></li></ul></div><div><ul><li><div>Experience with AWS and infrastructure-as-code tools like Terraform</div></li></ul></div></div></div></div></div><div></div>

Asset Management- Lead Software Engineer, Vice President

Niural AI

<div>
 <strong>
  AI Product Operator Intern
  <br/>
  <br/>
 </strong>
 <strong>
  About Niural
  <br/>
  <br/>
 </strong>
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 <br/>
 <br/>
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 <br/>
 <br/>
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Build Internal Tools
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
  </li>
  <li>
   Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
  </li>
  <li>
   Own the full lifecycle: build, deploy, monitor, and iterate
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Engineer AI Workflows &amp; Agents
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
  </li>
  <li>
   Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
  </li>
  <li>
   Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Integrate Systems &amp; Automate Pipelines
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
  </li>
  <li>
   Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
  </li>
  <li>
   Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ship with AI-Native Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
  </li>
  <li>
   Vibe code: move fast, prototype rapidly, validate with real users, and iterate
  </li>
  <li>
   Maintain clean, well-documented codebases so that automations and tools can be extended over time
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Support Sales &amp; Marketing Systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build lead enrichment, CRM hygiene, and outbound personalization workflows
  </li>
  <li>
   Create content generation and repurposing pipelines for the marketing team
  </li>
  <li>
   Develop internal tools that give the Sales team faster access to prospect and market data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Must-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
  </li>
  <li>
   Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
  </li>
  <li>
   Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
  </li>
  <li>
   Experience building multi-step AI workflows or agent-based systems
  </li>
  <li>
   Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
  </li>
  <li>
   Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
  </li>
  <li>
   Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
  </li>
  <li>
   Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
  </li>
  <li>
   Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
  </li>
  <li>
   Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
  </li>
  <li>
   Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
  </li>
  <li>
   Understanding of global payroll compliance, tax regulations, or labor laws
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How We Will Measure Success
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
  </li>
  <li>
   60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
  </li>
  <li>
   90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Niural
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will build systems that directly impact how a global fintech platform operates and scales
  </li>
  <li>
   You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
  </li>
  <li>
   You will ship constantly and see your work used by real people every day
  </li>
  <li>
   You are joining a team that values speed, ownership, and ambition over process and perfection
   <br/>
   <br/>
  </li>
 </ul>
</div>


AI Product Operator - Intern

C2R Ventures

<div>
 <p>
  Elite multi-strategy hedge fund manager that invests globally in a wide array of assets and strategies, is seeking an elite Agentic AI Research Engineer to play a key role in the ongoing development and enhancement of their investment process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Do not need financial experience to apply, but of course it is welcome. Candidates from AI research arms/divisions of notable bigtech companies and/or AI start-ups with elite VC backing are very welcome to apply.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This Engineer will be embedded in investment teams to augment their investment process through designing and building multi-agent frameworks by developing deep understanding of each business and leveraging cutting-edge methods.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
  </li>
  <li>
   Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
  </li>
  <li>
   Implement rigorous quantitative benchmarks for large scale agentic tasks
  </li>
  <li>
   Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
  </li>
  <li>
   Help create and optimize data mixes for model training that maximize agent performance or ease of use on agentic tasks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   0&gt;1 builder who is comfortable with uncertainty, operates with high agency, and excels at rapid iteration and shipping
  </li>
  <li>
   Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
  </li>
  <li>
   Successfully demonstrated the ability of taking a product from conception to completion
  </li>
  <li>
   Understanding of LLM-as-judge, reward hacking, specification gaming robustness problems
  </li>
  <li>
   Have strong Python skills and can build robust infrastructure across the stack
  </li>
 </ul>
</div>


Artificial Intelligence Engineer

<div><b>JOB DESCRIPTION</b><div><div><p><b><br>
Software Engineer III &ndash; CMAS Strategic Initiatives</b>
</p></div><div><div>As a Software Engineer in the Customized Managed Account Solutions (CMAS) team, you will design and build software and AI capabilities, powering a new platform for customization and implementation of investment solutions. The Strategic Initiatives team is focused on building software, AI, and human solutions that meet increasingly customized and complex client needs in a scalable and integrated way. The ideal candidate for this role is interested in developing impactful solutions over pure technical problems, understanding the business and domain, and connecting with teammates and partners.
</div></div><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li><div>Architect, develop, test, and maintain software and AI systems
</div></li></ul></div><div><ul><li><div>Work with stakeholders and subject matter experts to gather and understand functional requirements, translating business needs into technical solutions
</div></li></ul></div><div><ul><li><div>Work across multiple codebases and technology stacks to deliver integrated, cross-functional solutions
</div></li></ul></div><div><ul><li><div>Collaborate with engineering peers through code reviews and knowledge sharing
</div></li></ul></div><div><ul><li><div>Operate and improve software development life-cycle processes
</div></li></ul></div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>[3+|5+] years of experience in software development
</div></li></ul></div><div><ul><li><div>Experience with AI coding techniques (what&rsquo;s in your claude.md file?)
</div></li></ul></div><div><ul><li><div>Proficient in Python, Django, Pandas, and Object-Oriented Programming principles
</div></li></ul></div><div><ul><li><div>Strong knowledge of SQL and exposure to PostgreSQL / MongoDB
</div></li></ul></div><div><ul><li><div>Working proficiency in developmental toolsets such as PyCharm, Git / BitBucket, AWS, and Jira
</div></li></ul></div><div><ul><li><div>Experience building or integrating AI-powered features into applications
</div></li></ul></div><div><ul><li><div>Clear understanding of Agile-Scrum software development lifecycle
</div></li></ul></div><div><ul><li><div>Strong communication (written and oral) and analytical problem-solving skills
</div></li></ul></div><div><ul><li><div>Strong sense of attention to detail, accountability, and pride in delivering high-quality work
</div></li></ul></div><div><ul><li><div>Ability to work collaboratively in teams to achieve organizational goals
</div></li></ul></div><div><ul><li><div>Willingness to learn new technologies and work across multiple frameworks and codebases
</div></li></ul></div></div><div><div><ul><li><div>BE/BSc degree in Computer Science, Engineering, or equivalent experience
</div></li></ul></div><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li><div>Polyglot programming skill and affinity, and experience with various technology frameworks. A tolerance for figuring out different frameworks, not an unshakeable preference for one over another.
</div></li></ul></div><div><ul><li><div>Experience with AWS and infrastructure-as-code tools like Terraform</div></li></ul></div></div></div><div></div>

Asset Management- Software Engineer III

Loop

<div>
 <strong>
  About Loop
  <br/>
  <br/>
 </strong>
 Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data&mdash;trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.
 <br/>
 <br/>
 We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.
 <br/>
 <br/>
 Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.
 <br/>
 <br/>
 <strong>
  About the New Grad Program
  <br/>
  <br/>
 </strong>
 Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100&rsquo;s global supply chain.
 <br/>
 <br/>
 This program is designed to compress
 <strong>
  3 years of learning into 1 year
 </strong>
 by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.
 <br/>
 <br/>
 <strong>
  The Schedule:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Week 1 (Onboarding):
   </strong>
   Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
  </li>
  <li>
   <strong>
    Months 1-3 (Velocity):
   </strong>
   You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer.
  </li>
  <li>
   <strong>
    Months 4-9 (The Rotation):
   </strong>
   You will rotate onto a different high-impact team to expand your surface area. Tracks include:
  </li>
  <ul>
   <li>
    Platform: AI infrastructure and Engineering Systems.
   </li>
   <li>
    Core Product: Audit, Billing, and Payments logic.
   </li>
   <li>
    Commercial: Revenue Activation and Forward Deployed Engineering.
   </li>
   <li>
    Special Projects: Partnering directly with the CEO/CTO and other execs
   </li>
  </ul>
  <li>
   <strong>
    Month 9+ (Graduation):
   </strong>
   You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    You go above and beyond.
   </strong>
   You have a repo, a side hustle, or a project you built just because you are curious. You&rsquo;re self-directed and don't need an assignment to start coding.
  </li>
  <li>
   <strong>
    You have a bias towards action.
   </strong>
   You prefer to ship, break, fix, and apologize rather than wait for a committee decision.
  </li>
  <li>
   <strong>
    You are drawn to hard problems.
   </strong>
   You want problems that are more than one prompt away from a solution.
  </li>
  <li>
   <strong>
    You get absorbed in mastering your craft.
   </strong>
   Whether it&rsquo;s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..
  </li>
  <li>
   Own the why. Build deep context through customer calls, and understand the Loop&rsquo;s value to our customers. You push back on requirements if you see a better, faster way to solve the customer&rsquo;s problem.
  </li>
  <li>
   Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures.
  </li>
  <li>
   Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste.
  </li>
  <li>
   Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Graduating with a BS or higher in STEM fields; available to start full-time in 2026.
  </li>
  <li>
   Working in person in the SF or Chicago office 4 days a week.
  </li>
  <li>
   Proficiency with modern techstack. You can deliver a modern web app in hours not in days..
  </li>
  <li>
   Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact.
  </li>
  <li>
   AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $150,000 annual base pay for NY
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits &amp; Perks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fully paid health insurance.
  </li>
  <li>
   401k with matching.
  </li>
  <li>
   Unlimited PTO.
  </li>
  <li>
   Generous professional development budget.
  </li>
  <li>
   Commuter benefits.
  </li>
  <li>
   Wellness benefits
  </li>
  <li>
   Phone plan stipend
   <br/>
   <br/>
  </li>
 </ul>
</div>


2026 New Grad | Software Engineer, Full-Stack (New York)

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