Contractor Founding Full-Stack Efounding Full-Stack Engineer

Required Skills -Strong full-stack engineering ability with experience building real applications, not just scripts or notebooks. -Strong backend experience with Python and FastAPI, or Node.js with Express or NestJS. FastAPI is preferred. -Experience with React, Next.js, TypeScript, and modern dashboard-style user interfaces. -Experience with PostgreSQL and database schema design. Experience with SQLAlchemy, Prisma, -Drizzle, or similar ORM tools is useful. -Comfortable working with structured JSON event data, logs, traces, metrics, and analytics-style data models. -Experience building REST APIs, authentication flows, admin dashboards, and internal or customer-facing SaaS products. -Practical experience using LLM APIs such as OpenAI, Anthropic, or similar providers. -Familiarity with LangChain, LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, RAG systems, prompt evaluation, or AI-agent workflows is highly valuable. -Comfort with Docker, GitHub, environment variables, deployment basics, and clean project documentation. -Ability to move fast, communicate clearly, make tradeoffs, and avoid unnecessary complexity. Role Details This is a full-time contract role, Monday–Friday, approximately 9:00 AM–5:00 PM U.S. Eastern Time. -Contract to founding engineer. -We are looking for a senior-level builder with roughly 5 or more years of software engineering experience. -The ideal candidate has at least 1 to 2 years of practical experience building with LLMs, AI agents, RAG systems, evals, observability, analytics dashboards, or AI SaaS products. -Formal credentials matter less than proof of work, speed of execution, product judgment, and the ability to build clean software without a large team. Responsibilities -You will help design and build the first working MVP for Sira from the ground up. -You will build trace ingestion through a JSON upload flow and a basic API endpoint so users can send agent run data into the platform. -You will design the database schema for users, workspaces, projects, agents, versions, runs, trace steps, tool calls, errors, metrics, evaluations, and reports. -You will build a dashboard where users can view runs, inspect trace steps, filter by version, identify failed cases, and understand what happened inside an agent execution. -You will build version comparison logic that compares two groups of agent runs across success rate, cost, latency, error rate, tool usage, regression cases, and improvement cases. -You will build a simple release or performance report that explains whether a new version looks better, worse, or risky compared with the previous version. -You will integrate lightweight LLM analysis to summarize failures, cluster common issues, and suggest likely fixes or next tests. -You will set up a clean deployment flow, environment variables, documentation, and a handoff-ready codebase that another engineer could understand and extend. - You will work closely with the founder to turn user feedback from design partners into simple product improvements without overbuilding