applications engineer - robotics / weld tooling

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applications engineer - robotics / weld tooling Jobs in New York

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junior software engineer

systems engineer

Invio Automation

<div>
 
 The Company
 
 
 
 Invio Automation is a leading provider of advanced automation solutions, serving high-growth markets including medical device and life sciences, renewable energy, mobility, logistics &amp; fulfillment, and heavy industry. Our collaborative teams deliver mission-critical R&amp;D pre-validation services that lay the foundation for full-scale automation systems&mdash;where precision, efficiency, and accuracy are essential to success. With six locations across North America and a global network of partners, Invio maintains a strong presence in key regions where local service and support matter.
 
 
 Invio&rsquo;s proven portfolio of Industry 4.0 technology includes Autonomous Guided Vehicles (AGVs) for heavyweight applications, turnkey assembly lines, welding automation, lift-assist tools for safety-critical operations, robotic cells, multi-station assembly systems, bonding and welding technologies, vision systems, and precision dispensing solutions such as high-viscosity pumps, impulse bag sealing, and needle bending.
 
 
 Working at Invio means making a direct impact on the future of American manufacturing. We are committed to improving the lives of those who partner with us by designing and integrating custom-engineered automation solutions that enhance safety, increase efficiency, and raise product quality for our customers.
 
 
 
 Description
 
 
 
 The Applications Engineer supports the front-end development of automation solutions by collaborating with mechanical and controls engineers to validate system concepts and prepare customer-focused proposals. This role focuses on learning to interpret customer requirements, RFQs, and application needs while developing foundational skills in system concepts, estimating, documentation, and proposal development. Working under general supervision, the Applications Engineer assists in preparing technical content, CAD layouts, cost inputs, and supporting documentation while gaining hands-on exposure to automation system components and how they integrate into customer processes. This role plays a key part in supporting feasibility studies, proposal accuracy, and cross-functional alignment.
 
 
 
 Responsibilities
 
 
 
 
 ESSENTIAL DUTIES AND RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Serve as the technical authority and Subject Matter Expert for application development, ensuring customer solutions reflect best practices, innovation, scalability, and Invio standards.
 </li>
 <li>
 Analyze customer RFQs, specifications, concepts, and drawings to extract key requirements and estimating inputs.
 </li>
 <li>
 Assist in preparing system concepts, application notes, CAD layouts, and cost estimates under guidance from senior engineers.
 </li>
 <li>
 Support proposal preparation by gathering BOM data, drawings, and supporting documentation.
 </li>
 <li>
 Perform data collection, basic testing, and documentation to support application feasibility studies.
 </li>
 <li>
 Respond to internal and external information requests related to customer proposals and concepts.
 </li>
 <li>
 Observe and support customer meetings under the guidance of senior engineers.
 </li>
 <li>
 Collaborate cross-functionally with sales, engineering, and operations to align proposed solutions with customer expectations.
 </li>
 <li>
 Document technical findings clearly and accurately using Excel, PowerPoint, and written reports.
 </li>
 <li>
 Track assigned tasks and deadlines, escalating questions or risks as appropriate.
 </li>
 <li>
 Other duties as assigned
 
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5&ndash;10 years of relevant experience in automation, manufacturing, applications engineering, or a related technical role
 </li>
 <li>
 Experience reviewing customer RFQs, drawings, or technical specifications
 </li>
 <li>
 Familiarity with automation system components, including mechanical, controls, and robotics concepts
 </li>
 <li>
 Strong organizational skills with attention to detail and accuracy
 </li>
 <li>
 Ability to communicate clearly with engineers, sales, and operations teams
 
 
 
 </li>
 </ul>
 
 Other Skills and Abilities:
 
 
 
 <ul>
 <li>
 Excellent interpersonal, negotiation, problem-solving, and conflict-resolution skills
 </li>
 <li>
 Excellent organizational skills and attention to detail
 </li>
 <li>
 Excellent time management skills with a proven ability to meet deadlines
 </li>
 <li>
 Ability to act with integrity, professionalism, and confidentiality
 </li>
 <li>
 Proficient with Microsoft Office Suite or related software
 </li>
 <li>
 Proficiency with or the ability to quickly learn the organization&rsquo;s ERP, and Salesforce system
 </li>
 <li>
 Strategic thinker with the ability to translate business objectives into Invio&rsquo;s sales initiatives
 </li>
 <li>
 Willingness to travel within North America, up to 15% of the time
 
 
 
 </li>
 </ul>
 
 EDUCATION
 
 
 
 Associate&rsquo;s degree required in Engineering Technology, Manufacturing, or a related technical field. Bachelor&rsquo;s degree in Engineering, Manufacturing, or a related field preferred
 
 
 
 INVIO AUTOMATION&rsquo;S CORE VALUES
 
 
 
 <ul>
 <li>
 We take pride in the reliability of our team and the difficult problems we solve for customers.
 </li>
 <li>
 We deliver real customer value that positively impacts the lives of those around us.
 </li>
 <li>
 We are dependable. Relationships and trust matter.
 </li>
 <li>
 Our ingenuity and desire to improve lives will complement our suite of solutions.
 </li>
 <li>
 We strive to demonstrate that our attention to detail does not start or end with the solutions we engineer and deliver.
 </li>
 <li>
 We believe exceptional service is better demonstrated than said.
 </li>
 </ul>
</div>

Applications Engineer - Robotics / Weld Tooling

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Software Engineer
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $150,000 to $166,000 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Design, develop, and test software applications. Design, develop, and/or test software applications using company technology stack. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues. Support the company's business operations and improve engineering productivity. Build software components that can be integrated into a fully functional software system. Solve production issues in product and system reliability. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field and one year of experience in the job offered or related occupation.
 
 
 
 Position Requires One Year In
 
 
 
 <ul>
 <li>
 C++, Python, Java, GIT, or SVN;
 </li>
 <li>
 SQL or MySQL;
 </li>
 <li>
 Data structures and algorithms development and functionality;
 </li>
 <li>
 Designing technology stacks;
 </li>
 <li>
 Debugging and monitoring for production services;
 </li>
 <li>
 Distributed systems;
 </li>
 <li>
 Software Development Lifecycle.
 </li>
 </ul>
</div>

Software Engineer

Morgan Stanley

<div>Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
What you&rsquo;ll do in the role:
Morgan Stanley Services Group Inc. is seeking an Associate, Cybersecurity Engineer in New York, NY to create, monitor, and report key cybersecurity performance indicators and metrics. Leverage industry standards and frameworks to create a comprehensive set of cyber metrics to measure the effectiveness and coverage of the cyber program. Prepare comprehensive reports on cybersecurity metrics, tailored for executive-level review and strategic decision-making. Use Decision Science and Statistics methods to measure the cyber defense posture of the enterprise and create accurate and actionable insights to reducing risk for the enterprise.
What you&rsquo;ll bring to the role:
<ul><li>Requires a Bachelor&rsquo;s degree in Information Systems, Information Technology, or a related field of study.
</li></ul><ul><li>Requires two (2) years of experience in the position offered or two (2) years as a Cybersecurity Analyst, Cyber Risk Analyst, or a closely related occupation.
</li></ul><ul><li>Requires two (2) years of experience with the following skills:
</li></ul><ul><li>Decision Science and Statistics;
</li><li>creating new cybersecurity metrics measuring effectiveness and coverage of a cybersecurity defense program;
</li><li>Python and Prefect;
</li><li>cybersecurity frameworks including CRI Profile, MITRE ATT&amp;CK Framework, and cyber pathways;
</li><li>collaborating with senior leadership and maintaining stakeholder relationships;
</li><li>tools including Splunk, Elastic, and Jira;
</li><li>Data visualization tools including PowerBI; and
</li><li>writing reports and presenting findings.
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $107,000 and $150,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .</div>

Associate, Cybersecurity Engineer

C2R Ventures

<div>
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.
 
 
 
 
 
 
 Responsibilities:
 
 
 <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>
 
 
 
 
 
 Requirements:
 
 
 <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

Trexquant Investment LP

<div>
 
 Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As we continue to expand our trading operations, we are investing heavily in building the next generation of our quantitative research &amp; trading platform.
 
 
 We are seeking an Early Career Software Engineer with strong programming skills to join our engineering team. In this role, you will work closely with experienced engineers and quantitative researchers to&nbsp; develop the infrastructure that powers systematic trading, including data pipelines, back testing tools, and execution systems. You will have the opportunity to contribute to greenfield development projects, where you'll help build new systems from the ground up, driving innovation and scalability in our technology stack.
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust&nbsp;
 </li>
 <li>
 Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets
 </li>
 <li>
 Assist in developing tools for back testing, model training, and strategy evaluation
 </li>
 <li>
 Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance
 </li>
 <li>
 Participate in code reviews, testing, and documentation to maintain high-quality standards
 </li>
 <li>
 Stay abreast of emerging technologies, tools, and best practices, bringing innovative ideas to continuously improve our systems
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 BS/MS degree in Computer Science, or a related STEM field
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and object-oriented programming
 </li>
 <li>
 Proficiency in one or more programming languages{{:}} C++, C, Python, Java, or Rust
 </li>
 <li>
 Familiarity with Linux environments&nbsp;
 </li>
 <li>
 Excellent problem-solving skills and ability to learn quickly in a collaborative team setting
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 Competitive salary plus bonus based on individual and company performance
 </li>
 <li>
 Collaborative, casual, and friendly work environment
 </li>
 <li>
 PPO health, dental, and vision insurance premiums fully covered for you and your dependents
 </li>
 <li>
 Pre-tax commuter benefits
 </li>
 <li>
 Weekly company meals
 
 </li>
 </ul>
 
 Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.&nbsp;
 
 
 The base salary range is $130,000 - $175,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
 
 
 Trexquant is an Equal Opportunity Employer.
 
 
</div>

Software Engineer - Early Career (USA)

Biohub

<div>
 Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
 
 
 Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment.
 
 
 
 Our Research Spans
 
 
 
 <ul>
 <li>
 Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond.
 </li>
 <li>
 Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
 </li>
 <li>
 Imaging foundation models trained across the world's largest microscopy datasets
 </li>
 <li>
 Reasoning and agentic systems that connect frontier LLMs with biological foundation models
 </li>
 <li>
 Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
 </li>
 <li>
 Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled
 
 
 </li>
 </ul>
 Join our Team!
 
 
 As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
 </li>
 <li>
 Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
 </li>
 <li>
 Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
 </li>
 <li>
 Deploy models to production and manage artifact tracking across models and datasets.
 </li>
 <li>
 Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
 </li>
 <li>
 Work on simplification and improvement of codebase abstractions to accelerate research momentum.
 </li>
 <li>
 Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
 </li>
 <li>
 Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
 </li>
 <li>
 Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
 </li>
 <li>
 Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
 </li>
 <li>
 Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 <ul>
 <li>
 Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
 </li>
 <li>
 Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
 </li>
 <li>
 Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
 </li>
 <li>
 Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
 </li>
 <li>
 Experience building or working with AI agent frameworks is a plus.
 </li>
 <li>
 A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
 
 
 
 Benefits For The Whole You
 
 
 
 We&rsquo;re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
 
 
 <ul>
 <li>
 Provides a generous employer match on employee 401(k) contributions to support planning for the future.
 </li>
 <li>
 Paid time off to volunteer at an organization of your choice.
 </li>
 <li>
 Funding for select family-forming benefits.
 </li>
 <li>
 Relocation support for employees who need assistance moving
 
 
 </li>
 </ul>
 
 Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time!
 
</div>

Machine Learning Engineer, AI

Niural AI

<div>
 
 AI Product Operator Intern
 
 
 
 
 About Niural
 
 
 
 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.
 
 
 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.
 
 
 
 The Role
 
 
 
 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.
 
 
 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.
 
 
 
 What You Will Do
 
 
 
 
 Build Internal Tools
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Engineer AI Workflows &amp; Agents
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Integrate Systems &amp; Automate Pipelines
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Ship with AI-Native Development
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Support Sales &amp; Marketing Systems
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Must-Have
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <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
 
 
 </li>
 </ul>
 
 How We Will Measure Success
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Why Join Niural
 
 
 
 <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
 
 
 </li>
 </ul>
</div>

AI Product Operator - Intern

Explore 433+ Systems engineer in New York this May. Find roles across top companies and apply now to boost your career.