This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Full Stack Engineer – AI in United States. This role offers the chance to own and drive the full technical stack of a cutting-edge AI platform connecting users through shared experiences. You will have end-to-end ownership of frontend, backend, and AI infrastructure, making architecture decisions that scale from dozens to thousands of users. Working closely with founders, product leaders, and customers, you will ship features rapidly, implement agentic AI workflows, and coordinate specialist contractors. The position requires a hands-on, AI-native engineer who thrives in a fast-moving, lean environment and can balance speed with technical excellence. You will pioneer new ways to integrate AI into development, optimize productivity, and influence the overall engineering culture. This is ideal for someone who enjoys autonomy, experimentation, and making a tangible impact in a high-leverage role. Accountabilities: - Take full ownership of the AI platform’s frontend, backend, APIs, and cloud infrastructure. - Make architecture and technical decisions ensuring scalability, reliability, and security. - Maintain production systems, CI/CD pipelines, and manage technical debt. - Orchestrate and review work from specialist contractors and AI agents to maximize output. - Build and optimize agentic workflows that automate boilerplate code, testing, and documentation. - Document patterns, standards, and best practices for autonomous contractor and agent work. - Ship customer-facing features end-to-end while balancing speed and quality. Requirements: - 5+ years of full-stack development experience across frontend and backend systems. - Strong proficiency in TypeScript/JavaScript and Python. - Hands-on experience with cloud platforms such as GCP (Vertex AI, Cloud Run, BigQuery) or equivalent. - Production experience integrating LLM APIs (Anthropic, OpenAI, Google). - Comfortable with PostgreSQL, Redis, and event-driven architectures. - AI-native mindset: regular use of AI coding assistants, familiarity with agentic workflows, and prompt engineering knowledge. - Demonstrated end-to-end ownership of systems and architecture decision-making. - Experience managing or collaborating with contractors/freelancers, providing clear specifications and feedback. - Strong communication skills for asynchronous collaboration and documentation. - Self-starter who thrives in fast-paced, lean, and experimental environments. Benefits: - Competitive salary and equity opportunities. - Flexible work schedule and remote work options. - Health, dental, and vision insurance. - 401(k) or retirement plan participation with company match. - Generous paid time off and parental leave. - Professional development and learning opportunities. - A highly autonomous role with direct impact on product and engineering strategy. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?  Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• End-to-End Product Ownership: Translate business goals into working, deployable systems • Define architecture, workflows, and implementation plans • Ship and maintain production-grade systems — not demos or prototypes • Rapid Prototyping & Iteration: Turn ambiguous ideas into working demos within hours or days • Prototype using code, AI tooling, automation, or low-code systems • Validate through experiments and real user feedback, then iterate to production quality • Build AI-Native Systems: Design and orchestrate LLM agents, retrieval pipelines, workflow automation, memory layers, APIs, and guardrails • Design for Scale, Cost & Performance: Reason through token consumption, inference cost, latency constraints, infrastructure scalability, and system resilience • Operational Excellence: Instrument systems with monitoring and telemetry • Build evaluation loops for continuous quality improvement • Automate workflows that increase engineering velocity • Maintain clear, repeatable documentation

• Architect, design, and build reliable, scalable, secure front-end and back-end systems that solve key problems for our customers. • Develop and integrate AI-powered features and agentic workflows into core platform capabilities, requiring you to stay abreast of the latest advances in these technologies. • Work daily in a highly collaborative paired programming environment to design, build, test, and ship high quality software. • Translate customer problems and business requirements into thoughtful, well-structured technical solutions • Improve performance, observability, stability, and maintainability through refactoring and architectural improvements • Anticipate scaling challenges and proactively reduce technical risk to stay ahead of our fast growing business • Lead and participate in design and code reviews to uphold high engineering standards. • Leverage the power of AI-based development tools to maximize the efficiency, speed, and quality of your work. • Own production systems and step up during incidents to drive resolution with accountability to ensure the needs of our customers come first. • Collaborate closely with other Developers, Product Managers, and Designers in a feedback rich environment. Leverage this feedback to enable a mindset of continuous learning and improvement. • Contribute innovative ideas through innovation forums, hackathons, and AI experimentation to inform unique solutions that differentiate our products. • Mentor junior Developers and elevate overall technical quality across the team.

Visiting Scholar - HPC & AI Advanced Development This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: *Open for remote work within US* HPE is seeking a motivated and skilled graduate student to join the Advanced Programming Team within the HPC & AI Advanced Development Organization as a visiting scholar. This position is remote within the United States and requires valid U.S. work authorization. The position will be for 3 months starting as early as April 2026. In this role, the visiting scholar will collaboratively solve challenges in the development of workflows for distributed, large-scale data analysis of traces, logs, and telemetry data from simulations and HPC systems. This will include experimentation with AI assistance in such workflows. Key Responsibilities - Distributed HPC/AI workflow development, experimentation, and testing for enabling interactive processing of large-scale telemetry datasets (terabytes to petabytes). - Building solutions by composing existing open-source solutions and using distributed and parallel programming approaches for scaling data and simulation size. - Actively participate in a collaborative, consensus-driven design process. - Work in an Agile development environment. - Create documentation, collaborate with users, and present progress in writing, slides, and verbally. Required Skills and Qualifications - Graduate student at a U.S. educational institution - Actively engaged in research in, or research that makes use of, either: telemetry analysis of large-scale datasets or computational simulations. - Proficiency in one or more programming languages, such as C, C++, or Python - Experience in high-performance computing (HPC) or scientific computing - Experience designing, building, or operating distributed, large-scale systems - Experience with software engineering workflows, including version control, code reviews, automated testing, and CI/CD pipelines - Ability to clearly and effectively communicate technical concepts through documentation, presentations, and design discussions - Strong analytical and problem-solving skills Nice to Haves: Experience in one or more of the following areas - Experience collaborating with scientists or engineers on data science, data analytics, simulations, or modeling. - Experience with distributed memory parallel programming on supercomputers or large-scale clusters. - Experience incorporating and fine-tuning LLMs to provide a chat interface for any analysis or development environment. - Familiarity with performance debugging and optimization at scale. - Familiarity with Pandas, NumPy, Dask, Spark or other data science technologies Additional Skills: Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development {+ 5 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: AdministrationJob Level: N/A The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 92,477 - 200,450 in California // 92,477 - 200,450 in Arizona & Texas & Washington The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.