Mid-Level Full Stack Software Engineer

• Build and ship full stack features across Python/FastAPI backend and React/TypeScript frontend
• Create fast proof-of-concept work for demos and client feedback
• Extend the AI agent with typed tools, input/output schemas, refined system prompts, and database-grounded outputs
• Measure LLM behavior with evaluation suites and use results to guide prompt, tool, and model changes
• Improve document extraction and classification pipelines for PDF, Excel, Word, and CSV files, including LLM-assisted steps
• Build data-heavy interfaces including tables, charts, maps, and streaming chat interfaces
• Write tests at every layer using pytest, Vitest, and Playwright
• Review teammates' pull requests
• Contribute to infrastructure as code and CI/CD when needed

• 3–5+ years of professional software engineering experience, with full stack features shipped to production
• Strong object-oriented design, SOLID principles, common design patterns, and legacy-code refactoring
• Experience shipping at least one customer-facing product feature involving an LLM or ML model
• Tool or function calling and structured outputs validated against schemas
• Prompt design, versioning, and checking outputs against source data to limit hallucinations
• Evaluating model behavior with test sets or evaluation suites, including cost, latency, and failure modes
• Streaming LLM responses to a user interface
• Production experience with Python, FastAPI or similar, Pydantic, async Python, and SQLAlchemy or comparable ORM with migrations
• Strong PostgreSQL skills, including schema design, query performance, and data integrity
• Production experience with modern hooks-based React, TypeScript, server-state management, and complex data-dense interfaces
• Automated backend and frontend unit and integration testing
• Experience with AWS, Docker, Git-based pull request workflows, and CI/CD pipelines
• Professional working English
• Ability to work independently in a small remote team
• Hands-on experience with pydantic-ai, Vercel AI SDK, LangChain, LangGraph, OpenAI Agents SDK, or comparable frameworks
• Experience with embeddings, vector search such as pgvector, and hybrid retrieval
• Experience with document AI, PDF and table extraction, OCR, and semi-structured data classification
• Experience with classical ML or applied statistics, including regression, estimation, and confidence ranges
• Experience with Terraform and AWS App Runner or ECS
• Experience with geospatial technologies such as Shapely, PostGIS, or Leaflet-style mapping
• Domain exposure to real estate, construction, finance, or proptech
• Security-minded engineering, including multi-tenant data isolation, authorization models, and secrets handling
• Successful completion of employment verification and background checks after accepting an offer

• Competitive compensation paid in USD
• 20 days of paid time off (PTO) per year
• Opportunities for professional growth and career development
• Company-provided equipment
• Collaborative, inclusive, and multicultural work environment
• Opportunity to contribute to meaningful projects alongside a talented and supportive team