Mid-Level Full Stack Software Engineer

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Abstra

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

💼 Consulting

📦 Logistics

📣 Marketing

💰 $2.3M Seed Round - Abstra on 2022-01

Consulting • Logistics • Marketing

Abstra is a nearshore LATAM technology services company that provides staff augmentation, dedicated teams, software outsourcing, and managed IT services to U. S. and international clients. They deliver custom software development (web and mobile), UX/UI design, QA/testing, and platform & infrastructure work (DevOps/SRE), and offer Data & AI capabilities including data engineering, ML engineering, MLOps, and data science. Abstra emphasizes time-zone alignment, bilingual LATAM talent, cost-effective nearshore delivery, and long-term partnership models to help companies scale engineering capacity and accelerate roadmaps.

📋 Description

• 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

• 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

• 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