- Updated: March 31, 2026
- 5 min read
RamAIn Seeks Founding AI/ML Research Engineer to Build Ultra‑Fast Enterprise Automation Agents
RamAIn, a Y Combinator W26 startup based in San Francisco, is actively hiring a full‑time AI/ML Research Engineer (salary $150K‑$250K) to build the world’s fastest computer‑use agents for enterprise automation.

Overview of the Role
RamAIn’s mission is to eliminate repetitive, manual workflows by training AI agents that interact with legacy systems, desktop applications, and web portals exactly as a human would—only ten times faster and far more reliable. The newly opened AI/ML Research Engineer position sits at the intersection of cutting‑edge research and production‑grade systems, giving early‑career to senior talent the chance to ship real‑world AI agents that automate enterprise tasks from day one.
Key Responsibilities
- Design planning and reasoning architectures for long‑horizon computer‑use agents.
- Train multimodal models that understand UI layouts, screenshots, and DOM structures.
- Build ultra‑fast action‑selection engines that operate across messy, real‑world software environments.
- Improve reliability, latency, and robustness of deployed agents in production.
- Run experiments, iterate quickly, and ship improvements to enterprise customers.
Required Experience & Skills
- Bachelor’s degree with hands‑on experience building agentic systems, or a recent PhD/Master’s in Machine Learning, AI, Robotics, or Reinforcement Learning.
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
- Demonstrated ability to move from idea → experiment → deployment within weeks.
- Passion for agentic AI, reasoning systems, and enterprise automation.
- Comfort thriving in a fast‑moving early‑stage startup environment.
Company Background & YC Affiliation
Founded by Shourya Vir Jain (CEO) and Vansh Ramani (CTO), RamAIn emerged from the halls of IIT Delhi, CMU, and McKinsey. The duo met at IIT Delhi, dropped out to pursue AI‑native automation, and later joined Y Combinator’s Winter 2026 batch (W26). Their combined expertise—Shourya’s enterprise consulting experience and Vansh’s research contributions to ICLR, ACS, and Meta’s FAISS—positions RamAIn at the forefront of AI‑driven workflow automation.
As a YC‑backed company, RamAIn benefits from a robust network of mentors, investors, and fellow founders, accelerating product development and market reach. The startup’s rapid growth is reflected in its early traction with Fortune‑500 enterprises seeking to modernize legacy processes without costly UI rewrites.
Compensation, Benefits & Growth Opportunities
| Component | Details |
|---|---|
| Base Salary | $150,000 – $250,000 per year (commensurate with experience) |
| Equity | 0.30 % – 1.20 % (founding‑level pool) |
| Health & Wellness | Comprehensive medical, dental, vision, and mental‑health benefits |
| Remote Flexibility | Hybrid model – work from San Francisco office or remotely (US‑based visas only) |
| Professional Development | Conference budget, research paper sponsorship, and internal AI journal |
Beyond the financial package, the role offers unparalleled exposure to enterprise AI automation—a niche that is rapidly expanding as companies modernize legacy workflows. Engineers will collaborate directly with the founders, influence product direction, and co‑author patents that could define the next generation of AI agents.
Why This Opportunity Stands Out for AI/ML Talent
For AI/ML professionals seeking high‑impact work, RamAIn delivers a rare blend of research depth and production scale:
- Research‑first culture: Work on state‑of‑the‑art multimodal models and planning algorithms that are published at top conferences.
- Production impact: Ship models that immediately automate real‑world enterprise tasks, providing instant ROI and measurable outcomes.
- Founders as mentors: Direct mentorship from a YC‑backed CEO and a CMU‑trained CTO with a track record of open‑source contributions.
- Equity upside: Early‑stage equity aligns personal success with company growth, especially as the AI‑automation market expands.
- Strategic location: Based in San Francisco, the hub of AI talent, with access to a vibrant ecosystem of investors, researchers, and tech partners.
Call to Action – Apply Now
If you are ready to shape the future of enterprise automation, apply directly through the official Y Combinator posting. The hiring process includes a technical interview focused on agentic AI, a culture fit discussion with the founders, and a final design challenge that mirrors real‑world workflow automation.
Related UBOS Resources for AI‑Driven Automation
While you consider RamAIn’s opportunity, explore how UBOS empowers developers to build AI‑enhanced applications without writing extensive code:
- UBOS platform overview – a low‑code environment that integrates AI models, data pipelines, and UI components.
- Workflow automation studio – design end‑to‑end automation flows that can complement RamAIn’s agents.
- AI marketing agents – see how AI can drive revenue‑generating tasks, a use‑case similar to enterprise workflow automation.
- UBOS templates for quick start – jump‑start projects with pre‑built AI‑enabled templates like the AI SEO Analyzer or the AI Chatbot template.
- Enterprise AI platform by UBOS – a scalable solution for large organizations that mirrors RamAIn’s target market.
- UBOS partner program – collaborate with UBOS to integrate your AI agents into a broader ecosystem.
- About UBOS – learn about the team behind the platform and their vision for AI‑first development.
Closing Remarks
RamAIn’s AI/ML Research Engineer role is more than a job—it’s a chance to define a new category of AI‑native enterprise automation. With a competitive salary, meaningful equity, and direct access to visionary founders, this position is ideal for engineers who want to see their research materialize into products that power Fortune‑500 companies.
Don’t miss the window to join a YC‑backed startup that’s already reshaping how enterprises interact with software. Apply today, and become a key player in the next wave of AI‑driven productivity.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.