Staff Software Engineer
About The Position
Tellius is a fast-growing AI analytics company headquartered in Reston, Virginia. We are transforming how enterprises interact with their data — moving beyond dashboards and static reports to an always-on, agentic intelligence platform that investigates, reasons, and delivers finished answers autonomously. Our platform, powered by Kaiya — Tellius's AI agent — connects to all your enterprise data, automatically investigates what changed and why, and delivers board-ready briefings, memos, and presentations before you even ask. We serve some of the world's most innovative companies, including Novo Nordisk, PepsiCo, Regeneron, AbbVie, and Biogen — helping their teams go from question to decision in minutes, not days. We are recognized as a Visionary in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, and we're just getting started. Our team is built for people who thrive on solving hard problems, moving fast, and building things that matter at enterprise scale. We’re looking for a Staff Software Engineer to join our AI team. This is a high-impact, IC-focused role for someone who wants to build scalable AI systems that power real-world decision-making.
Requirements
- 2-6 years of professional software engineering experience
- Deep knowledge of AI engineering and agent frameworks (LangChain, LlamaIndex, or similar)
- Strong backend skills with Python, SQL, and database design
- Experience working with data systems and building scalable infrastructure
Nice To Haves
- Experience with Spark, Scala, or distributed compute frameworks
- Exposure to AI applications in B2B or enterprise environments
- Previous experience at an early-stage startup
- Familiarity with data engineering, ETL pipelines, or analytics workflows
Responsibilities
- Architect and implement core infrastructure for AI agents and orchestration (e.g., LangChain, custom frameworks)
- Build and optimize backend services using Python and SQL to support AI workloads
- Engage with design partners and early customers to validate architecture, use cases, and product direction
- Develop robust data pipelines and work with large, complex datasets
- Contribute to agentic application design, grounding LLMs in structured data and business logic
- Collaborate with AI researchers, product managers, and design to ship production-ready features
- Collaborate with and mentor junior engineers
Benefits
- Equity and benefits are also part of the total compensation package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
