> Markdown version of [/jobs/ext/1886900-staff-software-engineer](https://www.wearedevelopers.com/jobs/ext/1886900-staff-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Software Engineer

- **Company:** TELLIUS INC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $190,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Logic, Big Data, Databases, Information Engineering, Data Files, Extract Transform Load (ETL), Data Systems, Database Design, Python (Programming Language), Systems Development Life Cycle, Software Engineering, SQL Databases, Scripting, Large Language Models, Multi-Agent Systems, Apache Spark, Backend, Data Management, Data Pipelines, Programming Languages
- **Published:** July 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-san-francisco-ca--3da82e35-a381-4ad5-91c2-1ba4a7f65825

## About the Role

Must-Have Experience:

 * 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

Why Tellius

 * Work at the cutting edge of AI and decision intelligence
 * Small team, big ownership. Your work will directly shape the product
 * Opportunity to help define a new category: agentic business intelligence
 * Collaborative team with strong product-market momentum, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Intelligence, Business-to-Business (B2B), Category Development, Data Management, Data Sets, Database Design, Database Extract Transform and Load (ETL), Engineering, Integrated Circuits (ICs), Mentoring, Problem Solving Skills, Product Design, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), SQL Databases, Scala Programming Language, Scalable System Development, Software Design, Software Engineering, Structured Data, Systems Scalability, Team Player, Use Cases, Workflow Analysis

## Description

* 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


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)