Mid-Level Full Stack Software Engineer

Abstra

. Build and ship full stack features across Python/FastAPI backend and React/TypeScript frontend .

Posted 10/7/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full stack development with a focus on Python, FastAPI, React, and TypeScript, alongside strong skills in LLM integration and data processing. Proficient in implementing robust testing practices and CI/CD pipelines while ensuring high-quality software delivery.

Highest-signal resume keywords

Full Stack DevelopmentPython ProgrammingReact and TypeScriptLLM IntegrationPostgreSQL Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIReactTypeScriptPostgreSQLPydanticSQLAlchemyDockerTerraformMachine Learning

Soft Skills

Independent WorkTeam CollaborationCommunication

Tools & Technologies

AWSGitPytestVitestPlaywrightVercel AI SDKLangChainLangGraphOpenAI Agents SDKShapely

Industry Keywords

Real EstateConstructionFinanceProptechDocument AI

Tech Stack

Tools & technologies

AWSDockerPostGISPostgresPythonReactTerraformTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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