A
Mid Full-Stack Engineer (Python/FastAPI/React)
Contract type
Ongoing
Work mode
Remote · LATAM
Experience
Mid-level · 3+ years
Job description
Mid-level full stack engineer to build features end to end across a Python/FastAPI backend and a React/TypeScript frontend, with a large share of work on LLM-powered product features such as an AI agent and document extraction pipelines.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · LATAM
- Languages
- English – professional working
What you'll do
- Build and ship full-stack features.
- Create fast proof-of-concept work for demos and client feedback.
- Extend the AI agent: add and maintain tools with typed input and output schemas, refine system prompts, and keep model outputs grounded in data from the database.
- Measure LLM behavior with evaluation suites and use the results to guide changes to prompts, tools and models.
- Improve document extraction and classification pipelines for PDFs, Excel, Word, and CSV files, including the LLM-assisted steps.
- Build data-heavy UI: tables, charts, maps and streaming chat interfaces.
- Write tests at every layer (pytest, Vitest, Playwright) and review teammates' pull requests.
- Contribute to infrastructure as code and CI/CD when your features need it.
What we're looking for
- 3–5+ years of professional software engineering, with full-stack features shipped to production.
- Strong object-oriented design: model a complex domain with clear classes, sensible boundaries, and composition; comfortable with SOLID principles, common design patterns, and refactoring legacy code toward a cleaner structure.
- LLMs and ML as product features: built and shipped at least one feature where an LLM or ML model is part of what the product does for customers.
- 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 eval suites, and handling cost, latency, and failure modes.
- Streaming LLM responses to a user interface.
- Python backend: production experience with FastAPI or a similar framework, Pydantic, async Python, and SQLAlchemy (or a comparable ORM) with migrations.
- Relational databases: strong PostgreSQL skills, including schema design, query performance, and data integrity.
- React and TypeScript: production experience with modern hooks-based React, server-state management (TanStack Query or similar), and building complex, data-dense interfaces.
- Testing: write automated tests by habit, both unit and integration, on the backend and the frontend.
- Cloud and delivery: working experience with AWS, Docker, Git-based pull request workflows, and CI/CD pipelines.
- Professional working English, and ability to work independently in a small remote team with clear written updates, good pull request descriptions, and raising blockers early.
Nice to have
- Hands-on experience with pydantic-ai, the Vercel AI SDK, or comparable agent and LLM frameworks such as LangChain, LangGraph, or the OpenAI Agents SDK.
- Retrieval and RAG systems: embeddings, vector search (pgvector or similar), and hybrid retrieval.
- Document AI: PDF and table extraction, OCR, and classifying semi-structured data.
- Classical ML or applied statistics: regression, estimation, and working with confidence ranges.
- Terraform and AWS App Runner or ECS.
- Geospatial work: Shapely, PostGIS, or Leaflet-style mapping.
- Domain exposure to real estate, construction, finance, or proptech, such as cost estimating or pro forma modeling.
- Security-minded engineering: multi-tenant data isolation, authorization models, and secrets handling.
Benefits
- Competitive compensation paid in USD.
- 20 days of paid time off (PTO) per year.
- Opportunities for professional growth and career development.
- Company-provided equipment.
- A collaborative, inclusive, and multicultural work environment.
- The opportunity to contribute to meaningful projects alongside a talented and supportive team.
How to get hired
- 1Employment verification check and background check after accepting an employment offer, confirming job titles and dates of employment with two previous employers.
Apply
About Abstra
Nearshore Tech Talent services company
Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients' needs, driving innovation and efficiency.
Key facts
- Tech Talent services
- Founded by U.S.-bred engineers with over 15 years of experience
- Provides top Latin American tech talent to U.S. companies and beyond
What they value
- Collaborative
- Inclusive
- Multicultural