What are the responsibilities and job description for the Founding Software Engineer position at Farsyt?
Company Description
Farsyt is an AI-native insurance services company reimagining how insurance is bought, sold and operated -- using automation, data and AI from the ground up.
Small team, high ownership, fast pace, venture-backed. This role is for someone who wants to take real ownership, move quickly, and build systems that matter.
Role Description
You’ll work closely with the founders and early engineers to build core product systems from the ground up.
Qualifications
Technical Stack
Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS, Gemini/OpenAI/Anthropic APIs, Pydantic AI/LangChain, Docker
You don’t need experience with everything here, but you should be comfortable working in production systems and picking up new tools quickly.
The Team
You’d be joining the founding technical team, with direct input into what gets built and how. The people who join now will shape the company in ways that won’t be possible later.
Why this role?
Cambridge, MA
In-office, 5 days/week — we believe early-stage teams build best in person.
Don’t meet every requirement?
If you’re excited about the role but don’t check every box, we still encourage you to apply. We’re open to candidates across a range of experience levels, including those who may be more senior than this role suggests.
We are an equal opportunity employer and value diversity at our company.
Farsyt is an AI-native insurance services company reimagining how insurance is bought, sold and operated -- using automation, data and AI from the ground up.
Small team, high ownership, fast pace, venture-backed. This role is for someone who wants to take real ownership, move quickly, and build systems that matter.
Role Description
You’ll work closely with the founders and early engineers to build core product systems from the ground up.
- Build and ship backend systems (APIs, services, data models)
- Develop AI-powered workflows that replace manual operations
- Integrate with external systems (carrier tools, documents, communication layers)
- Build automation pipelines using LLMs and modern AI tooling
- Work on asynchronous systems (queues, workers, long-running tasks)
- Ship quickly — from idea → production in days, not months
Qualifications
- 2–5 years of experience building production systems
- Strong backend fundamentals (we use Python)
- Comfortable working with APIs, databases, and cloud environments
- Ability to learn quickly and operate in a fast-moving environment
- Experience or strong interest in modern AI systems (LLMs, RAG, agents)
- Solid engineering fundamentals (debugging, data modeling, system design)
- Good product instincts — you care about what you’re building and why
- Experience with asynchronous systems (Celery, Redis, cron jobs)
- Production experience with LLM-based applications or automation workflows
- Familiarity with fintech, insurance, or regulated environments
Technical Stack
Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS, Gemini/OpenAI/Anthropic APIs, Pydantic AI/LangChain, Docker
You don’t need experience with everything here, but you should be comfortable working in production systems and picking up new tools quickly.
The Team
You’d be joining the founding technical team, with direct input into what gets built and how. The people who join now will shape the company in ways that won’t be possible later.
Why this role?
- You’ll be one of the first engineers — your decisions will shape the company
- Direct access to founders, no layers
- Real problems, not toy demos
- A massive, outdated industry ready to be rebuilt
- Competitive salary & equity
- Benefits
- PTO
- Health/Dental/Vision
- 401k
- Relocation
Cambridge, MA
In-office, 5 days/week — we believe early-stage teams build best in person.
Don’t meet every requirement?
If you’re excited about the role but don’t check every box, we still encourage you to apply. We’re open to candidates across a range of experience levels, including those who may be more senior than this role suggests.
We are an equal opportunity employer and value diversity at our company.