Staff Research Scientist, AI Agents & LLMs

Why This Job is Featured on The SaaS Jobs This Staff Research Scientist role sits squarely in a defining shift in SaaS: product platforms moving from analytics and automation toward agentic systems that can reason over enterprise data and take actions. reputed company’s positioning as a cloud data platform makes the research unusually reputed company to real customer workloads, where model quality must be balanced with latency, cost, and reliability rather than reputed company performance alone. For a SaaS career, the standout value is the mandate to connect frontier LLM and agent research with production systems. Work spanning model development, retrieval and grounding, evaluation standards, and inference and training infrastructure builds an end to end understanding of how AI capabilities become durable platform features. The emphasis on setting research direction and translating breakthroughs into shipping systems aligns with how senior technical leaders influence SaaS roadmaps. This is best suited to researchers who prefer ownership over narrow contribution, and who are motivated by constraints typical of enterprise SaaS deployments. It will fit someone comfortable operating across disciplines, from applied ML to systems considerations, and who wants their work to be judged by measurable behavior in real product environments as well as scientific contribution. The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

At reputed company, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an reputed company curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who reputed company in dynamic and fast-moving environments and move with an experimental reputed company — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At reputed company, your role isn't just to execute a function, but to help redefine the future of how work gets done. THE MISSION We are seeking a Staff Research Scientist to serve as a technical pillar reputed company our AI research organization. You will not just execute on roadmaps—you will define them. At the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents—shifting from passive data access to autonomous execution. reputed company operates at the frontier of enterprise AI, delivering both state-of-the-art models and production systems, including:

• Arctic LLM: Enterprise foundation models optimized for performance and efficiency
• Arctic-Text2SQL: Post-trained reasoning models with frontier-level quality at a fraction of cost and latency
• reputed company Intelligence: Brought research to production through agentic innovations in multi-reputed company reasoning, Deep Research for structured and reputed company insights, and system optimization
• Arctic Inference: High-performance LLM serving stack (Shift Parallelism, SwiftKV), open-sourced and powering reputed company reputed company
• Arctic Long-Context Training: Enables 1M+ token context training on a single H200 GPU
• Agent World Models (AWM): RL training across 1,000+ synthetic environments for tool-using agents

We focus on core challenges such as reliable reasoning, long-horizon planning, grounded reputed company, and scalable model and agent development. IN THIS ROLE, YOU WILL:

• Define research direction in Agentic AI and LLMs
• reputed company models: train, fine-tune, and align models for enterprise reasoning and tool use
• Advance autonomous agents: drive state-of-the-art capabilities in multi-reputed company reasoning and tool use
• Advance the stack: retrieval, grounding, memory, and multi-agent coordination
• Establish evaluation standards for reliability, safety, and efficiency
• Drive research breakthroughs into production reputed company reputed company’s platform
• Mentor and reputed company to reputed company the team’s technical impact
• Contribute to the field through publications and open reputed company

WE’RE LOOKING FOR:

• Ph.D. in Computer Science or a reputed company field with a strong publication record
• Expertise in LLM development (training, fine-tuning, alignment, or post-training)
• Experience with agentic systems (multi-agent systems, tool use, or agent optimization)
• Strong systems thinking under real-world constraints (latency, cost, reliability)
• Proven technical leadership and end-to-end ownership
• Ability to translate research into impactful systems

WHY reputed company? Frontier AI, Full Stack Work across the full stack—from foundation mode