Founding Staff Engineer, AI Agent
Builds sophisticated AI agent products for investigating financial crimes, leads technical designs and teams. Requires 4-10 years experience in software development, Python, cloud infrastructure, and hybrid SF Bay Area work.
About the job
Responsibilities
- Build highly sophisticated agentic products to investigate complex financial crimes.
- Lead the technical designs and team charters.
- Operate as one team: own problems end-to-end, review each other’s code, and move quickly.
Requirements
- 4-10 years of software development experience.
- Lead 5-people + projects.
- Get along well with PMs and Designers.
- Communicative.
Nice-to-haves
- Comfortable with Python, Cursor, cloud infrastructure (AWS/GCP/Azure), and agent frameworks.
- Obsessed, curious, and resourceful.
Compensation
- Base pay range: $160,000 – $200,000 per year.
- Epic offsites, daily lunch stipend, medical/dental/vision insurance.
- Hybrid work: in-office collaboration + focused WFH days.
Skills
Python, Cursor, AWS, GCP, Azure, Agent Frameworks
Similar jobs
ML Engineering jobsBuilds and owns production multi-agent AI infrastructure, backend integrations, and workflow automation for marketing operations. Requires 8+ years of software engineering experience, strong Python and JavaScript/Node.js skills, production LLM experience, and deep Google Cloud expertise.
Design and productionize ML, deep learning, and LLM models for personalization, recommendations, and search systems. Requires 7+ years building production ML/AI with business impact and strong cross-functional collaboration skills.
Staff-level engineer responsible for building AI agents and automation, evaluating developer AI tools, and driving adoption across the engineering organization. Requires 8+ years of software engineering experience plus production experience with LLMs, agentic systems, and applied machine learning.
Own the shared AI foundation powering Aleph’s financial planning products, including model routing, context and tool systems, evaluations, and observability. The role requires Staff-level experience shipping production LLM and agentic systems, strong technical judgment, and a pragmatic builder’s mindset.
Develop and productize online mapping models for autonomous navigation using real-world sensor data. The role requires deep ML expertise, robotics or computer vision experience, strong Python and deep learning framework skills, and a staff-level ability to deliver practical solutions.