SWOP
AI backend engineer – Agentic AI & Automation (Remote) - Junior/Mid level SE I/I
SWOP, San Francisco, California, United States, 94199
AI Backend Engineer – Agentic AI & Automation (Remote)
Join to apply for the Junior/Mid level SE I/II role at SWOP.
Base pay range $60,000.00/yr – $70,000.00/yr
Role Overview We are looking for a full‑time Junior/mid level AI Backend Engineer to help build and maintain the backend for SWOP, our agentic AI broker. You will work closely with the founding team to implement task automation, multi‑agent workflows, and backend infrastructure that powers AI‑driven negotiation and asset matching, LLM training and more. This role is remote initially, but we plan on relocating to the US (SF Bay Area/New York City) in the future.
Ideal Candidate
2-3+ years work experience (or 0-2 years) with a proven track record why you are better than everyone else.
Willing to start December 2025 or January 2026.
Loves startup hustle and getting hands dirty.
Fluent in English (strong conversational skill).
Organized engineer and outside‑the‑box thinker.
Quick problem solver.
Responsibilities
Build and maintain backend systems for SWOP, including automation of marketplace tasks and AI‑driven workflows.
Implement Python‑based backend services, APIs, and integration with LLM agents.
Work with headless browser and scraping tools for web automation.
Build system prompting for AI Agent.
Help design, implement, and manage data schemas and pipelines for AI‑driven decision making.
Collaborate with frontend engineers, AI researchers, and product teams to translate AI models into production‑ready workflows.
Ensure scalability, reliability, and security of backend systems.
Support launch of SWOP.
Mandatory Skills
Strong Python programming skills (5+ years preferred).
Experience with FastAPI / Flask or similar backend frameworks.
Experience working with Pydantic for data validation and structured models.
Understanding of LLMs / agentic AI workflows.
Experience with Playwright, Selenium, or web automation frameworks.
Familiarity with databases (PostgreSQL or similar).
Understanding of REST APIs / microservices and GraphQL APIs.
Strong problem‑solving skills and ability to work autonomously in a fast‑paced startup.
Heavy product sense and strong individual autonomy.
Obsession over the product you are building.
Nice‑to‑Have Skills
Experience with AI orchestration / multi‑agent systems.
Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Experience with queueing systems / Celery / RabbitMQ / Kafka.
Exposure to AI model deployment in production environments.
Proficient in JavaScript/TypeScript.
Previous experience in startups is a plus.
Comfortable working in a hybrid or fully remote setup with asynchronous communication.
Debugging and profiling performance bottlenecks.
Code versioning: Git, branching, PR workflows.
Embeddings & soft ML understanding.
What We Offer
Opportunity to build a next‑gen AI broker from the ground up.
Equity in a fast‑growing startup (0.5% stock options).
Flexible remote work setup with potential relocation to the US.
Building a product for high‑end multi‑billion dollar companies (Sotheby’s, Christie’s, Chrono24, etc.).
Close collaboration with the founding team and direct impact on product direction.
Learning and growth opportunities in AI, agentic systems, and luxury marketplaces.
How to Apply
Resume + brief cover letter explaining why you’re excited about agentic AI and automation + tell us why you're different than everyone else.
GitHub / portfolio showcasing Python projects, web automation scripts, or AI workflows or anything crazy that you built (show us you’re the right person).
Give us a Follow SWOP on LinkedIn and Riccardo Dana Founder of SWOP.
Bonus point if you follow our X/Twitter page.
About SWOP SWOP is the first autonomous AI broker that manages asset listing, negotiations, valuations, prospecting and deal closure at scale to help you sell or trade your assets faster than before. We’re a startup operating at the intersection of AI, automation, Data and luxury marketplaces, and our mission is to make high‑value asset transactions faster, smarter, and more seamless at a fraction of the cost. Helping not only brokers and dealers enhance their deal flow but primarily individuals themselves who can own a trustworthy broker that acts on their behalf and is 100% transparent and smarter than any broker out there.
Position Details We’re a young AI startup with 2 engineers/founders, amazing client ell pipeline. You would be our first employee. Our intentions is for you to be so passionate about what were building that you cant see yourself anywhere else. We want to grow with you and have you grow with us. Share ideas, challenge yourself, try new things for the company and enjoy your time with us. The salary position may not reflect our generosity but that is just because were ensuring maximum runway until we properly kick off. As the company grows so will your salary so this is just a starting point. Including the Equity. We hope you have the start‑up grind and energy to contribute to our success. The position is full‑time but has a 6 month probation.
Hiring Process
Initial CV/Technical Screening
Quick Chat to know more about you
Project Test – Debugging/coding case study
Technical Deep Dive + System Design Chat
Final Chat discussion
Offer
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
#J-18808-Ljbffr
Base pay range $60,000.00/yr – $70,000.00/yr
Role Overview We are looking for a full‑time Junior/mid level AI Backend Engineer to help build and maintain the backend for SWOP, our agentic AI broker. You will work closely with the founding team to implement task automation, multi‑agent workflows, and backend infrastructure that powers AI‑driven negotiation and asset matching, LLM training and more. This role is remote initially, but we plan on relocating to the US (SF Bay Area/New York City) in the future.
Ideal Candidate
2-3+ years work experience (or 0-2 years) with a proven track record why you are better than everyone else.
Willing to start December 2025 or January 2026.
Loves startup hustle and getting hands dirty.
Fluent in English (strong conversational skill).
Organized engineer and outside‑the‑box thinker.
Quick problem solver.
Responsibilities
Build and maintain backend systems for SWOP, including automation of marketplace tasks and AI‑driven workflows.
Implement Python‑based backend services, APIs, and integration with LLM agents.
Work with headless browser and scraping tools for web automation.
Build system prompting for AI Agent.
Help design, implement, and manage data schemas and pipelines for AI‑driven decision making.
Collaborate with frontend engineers, AI researchers, and product teams to translate AI models into production‑ready workflows.
Ensure scalability, reliability, and security of backend systems.
Support launch of SWOP.
Mandatory Skills
Strong Python programming skills (5+ years preferred).
Experience with FastAPI / Flask or similar backend frameworks.
Experience working with Pydantic for data validation and structured models.
Understanding of LLMs / agentic AI workflows.
Experience with Playwright, Selenium, or web automation frameworks.
Familiarity with databases (PostgreSQL or similar).
Understanding of REST APIs / microservices and GraphQL APIs.
Strong problem‑solving skills and ability to work autonomously in a fast‑paced startup.
Heavy product sense and strong individual autonomy.
Obsession over the product you are building.
Nice‑to‑Have Skills
Experience with AI orchestration / multi‑agent systems.
Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Experience with queueing systems / Celery / RabbitMQ / Kafka.
Exposure to AI model deployment in production environments.
Proficient in JavaScript/TypeScript.
Previous experience in startups is a plus.
Comfortable working in a hybrid or fully remote setup with asynchronous communication.
Debugging and profiling performance bottlenecks.
Code versioning: Git, branching, PR workflows.
Embeddings & soft ML understanding.
What We Offer
Opportunity to build a next‑gen AI broker from the ground up.
Equity in a fast‑growing startup (0.5% stock options).
Flexible remote work setup with potential relocation to the US.
Building a product for high‑end multi‑billion dollar companies (Sotheby’s, Christie’s, Chrono24, etc.).
Close collaboration with the founding team and direct impact on product direction.
Learning and growth opportunities in AI, agentic systems, and luxury marketplaces.
How to Apply
Resume + brief cover letter explaining why you’re excited about agentic AI and automation + tell us why you're different than everyone else.
GitHub / portfolio showcasing Python projects, web automation scripts, or AI workflows or anything crazy that you built (show us you’re the right person).
Give us a Follow SWOP on LinkedIn and Riccardo Dana Founder of SWOP.
Bonus point if you follow our X/Twitter page.
About SWOP SWOP is the first autonomous AI broker that manages asset listing, negotiations, valuations, prospecting and deal closure at scale to help you sell or trade your assets faster than before. We’re a startup operating at the intersection of AI, automation, Data and luxury marketplaces, and our mission is to make high‑value asset transactions faster, smarter, and more seamless at a fraction of the cost. Helping not only brokers and dealers enhance their deal flow but primarily individuals themselves who can own a trustworthy broker that acts on their behalf and is 100% transparent and smarter than any broker out there.
Position Details We’re a young AI startup with 2 engineers/founders, amazing client ell pipeline. You would be our first employee. Our intentions is for you to be so passionate about what were building that you cant see yourself anywhere else. We want to grow with you and have you grow with us. Share ideas, challenge yourself, try new things for the company and enjoy your time with us. The salary position may not reflect our generosity but that is just because were ensuring maximum runway until we properly kick off. As the company grows so will your salary so this is just a starting point. Including the Equity. We hope you have the start‑up grind and energy to contribute to our success. The position is full‑time but has a 6 month probation.
Hiring Process
Initial CV/Technical Screening
Quick Chat to know more about you
Project Test – Debugging/coding case study
Technical Deep Dive + System Design Chat
Final Chat discussion
Offer
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
#J-18808-Ljbffr