Senior Software Engineer (Agentic Systems) ($160K – $250K + Equity) at Tavu at Jack & Jill/External ATS

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

250000.0

Posted On

09 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Agentic Systems, LLM Frameworks, RAG, Asynchronous Task Management, Job Scheduling, Autonomous Memory Management, Scalability, Observability, Full Stack Development

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Senior Software Engineer (Agentic Systems) Salary: $160K – $250K + Equity Company Description: High-growth AI research lab Job Description: Join a pioneering research lab as a technical lead focused on building the next generation of conversational AI interfaces. You will architect and deploy production-grade agentic systems, integrating long-term memory and complex task management. This role is essential for creating reliable, real-time interactive systems that bridge the gap between human communication and machine intelligence. Location: San Francisco, USA Why this role is remarkable: Lead the development of sophisticated agentic features like RAG and asynchronous task management within a high-performance engineering culture. Join a well-funded Series B startup backed by top-tier global venture capital firms at the forefront of the AI wave. High-impact opportunity to shape the future of human-computer interaction by building systems that act with unprecedented empathy and reliability. What you will do: Own the end-to-end development and delivery of new agentic systems, including job scheduling and autonomous memory management. Partner with cross-functional research and product teams to design real-time interfaces that respond to complex user inputs. Ensure the scalability and observability of production-grade LLM systems while contributing across the full technical stack. The ideal candidate: Deep expertise in Python and extensive experience building complex, production-ready agentic systems using modern LLM frameworks. A senior engineering mindset with a proven track record of setting technical direction and shipping polished software in ambiguous environments. Strong architectural intuition and the ability to communicate complex technical concepts with clarity to both technical and non-technical stakeholders. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

The role involves owning the end-to-end development and delivery of new agentic systems, including critical components like job scheduling and autonomous memory management. Responsibilities also include partnering with cross-functional teams to design real-time interfaces and ensuring the scalability of production-grade LLM systems.