Note: The job is a remote job and is open to candidates in USA. GigFinder.ai is an all-in-one platform for property management companies, offering tools such as CRM, communications, documents, and AI agents. The Senior Backend Developer will build and improve autonomous inbox, voice, and knowledge-base agents, while designing LLM infrastructure for reliability, performance, retrieval, evaluation, and cost optimization.
Responsibilities
Inbox-Agents : Autonomous Agents triggered whenever something new happens inside a ticket. The customer can train them on their own OR rather use one of the templates you will build for them. These agents already have the capabilities to fully own entire complex scenarios and are one of the main reasons customers are interested in our software. But when should the agent escalate to a human rather than finishing on its own? How can we make sure it sticks to the process? Those are your questions
Harness Engineering: The agent has 100+ tools. But it has to read a request the way a property manager would, not the way the words sound elsewhere. What goes into the system prompt, what into skills?
Knowledge base : Our platform includes its own knowledge base, similar to Notion. Its fully custom built and supposed to act as the companys collective brain. But should the AI also learn by itself? And if yes, when? And how can we improve the way our AI searches the knowledge base through better tools, system prompts, or skills?
Voice-agents : The same agents, but on the phone built on LiveKit, handling calls the way our text agents handle tickets
LLM Infrastructure. Pick the right model for the job, cache and stream to cut latency, retry when a provider fails, compact context, optimize RAG search, track usage across providers, reduce costs and run evals to see what's actually better Skills
A seasoned developer with more than 2 years of experience building production agents
AI-native in production. You've shipped agentic features real users rely on, and you have opinions on retrieval, evals, tool design, and where today's frontier models break down
A builder first. You'd rather ship a rough v1 today than spend three weeks planning the perfect one
Up to date with new AI models & the research
Writing almost al of your code with AI
Comfortable working autonomously and take full ownership of your tasks
Performing even better when working under performance pressure
Quick to learn new things and consider yourself a generalist, not a specialist
Is not important to us, since AI will be writing 100% of your code
Benefits
100% remote work
Allianz Gold Health Insurance with great coverage
Flexible hours
As many AI-tokens as you need
Permanent employment contract in your country of residence through our partner Deel (EOR)
Were self-funded & profitable (and not burning VC money to survive)
Small team, real ownership what you build actually goes live
Quick decisions, no pointless meetings and no layers of approval to get through
Private room in hospital, worldwide coverage
Free choice of doctors & specialists, no health check, pre-existing conditions don't matter
Partner and kids are covered as well
Surgery, cancer care, MRI/CT/PET scans and diagnostics fully covered
Dental treatment & surgery covered at 90%
$675/year for physio, osteopathy, chiropractic and acupuncture
$100 per night in-patient cash benefit, up to 20 nights
Prescription drugs, vaccinations, glasses/contacts, home nursing and ambulance covered Company
Overview
GigFinder was founded on a simple premise: the traditional job search is broken. It was founded in 2025, and is headquartered in Richmond, Virginia, US, with a workforce of 2-10 employees. Its website is https://www.GigFinder.ai.