Senior Full-Stack Python Engineer

How to Apply

If you want to be considered for this position, you must send us a message on Indeed that includes a short video explaining why you are interested in this role and why you are qualified. Applications without a video link sent in an Indeed message will not be reviewed.

ABOUT THE ROLE

We are seeking a Senior Full-Stack Python Engineer to join our team building an enterprise-grade AI document processing platform and CRM backend. You will work on modern async Python systems, GraphQL APIs, and AI-driven workflows involving large language models.

This role is hands-on, technical, and architecture-focused. You will be working in a production codebase that values correctness, maintainability, and performance.

REQUIRED QUALIFICATIONS

Experience Level

• 5+ years of professional software development experience
• 3+ years of Python in production environments
• 2+ years working with async Python (asyncio, async/await)

Python Expertise (Required)

• Python ideally 3.13)
• Strong use of modern type hints
• Deep understanding of async programming patterns
• Experience with FastAPI or similar async frameworks
• Pydantic for data validation and settings management

Database & ORM (Required)

• PostgreSQL with advanced features (schemas, JSONB, arrays)
• SQLAlchemy 2.0 async ORM (declarative style)
• Alembic migrations
• Experience with multi-tenant database designs

API Development (Required)

• GraphQL experience (Strawberry GraphQL preferred)
• Query, mutation, and subscription patterns
• REST API design and implementation
• API versioning and backward compatibility

Architecture & Design Patterns (Required)

• Clean / layered architecture
• Repository pattern for data access
• Dependency injection (aioinject or similar)
• Service layer for business logic
• Strategy pattern for polymorphic behavior
• Strong application of SOLID principles

PREFERRED QUALIFICATIONS

AI / ML Experience (Highly Preferred)

• LLM integrations (OpenAI, Anthropic Claude, Groq)
• Structured AI frameworks such as pydantic-ai
• Vector databases (Qdrant, Pinecone, Weaviate)
• Embeddings and semantic search
• AI agents with tool registration and structured outputs

Infrastructure & DevOps (Preferred)

• Docker and containerized services
• Kubernetes deployments
• Redis for caching and queues
• TaskIQ or Celery for background jobs
• CI/CD pipelines (GitHub Actions)

Additional Technical Skills (Preferred)

• Modal or similar serverless compute platforms
• S3-compatible object storage
• Datadog or similar observability tooling
• Document processing (PDF, DOCX, OCR)
• Data processing with Polars or Pandas

TECHNICAL ENVIRONMENT

Languages

• Python 3.13
• SQL

Frameworks & Libraries

• FastAPI
• Strawberry GraphQL
• SQLAlchemy 2.0

Databases & Storage

• PostgreSQL 15+
• Redis
• Qdrant (vector database)

AI / ML

• OpenAI GPT-4
• Anthropic Claude
• pydantic-ai
• Voyage AI

Infrastructure & Runtime

• Docker
• Kubernetes
• Modal
• Uvicorn

Tooling

• UV (Python package manager)
• Alembic
• TaskIQ
• Ruff
• basedpyright

Monitoring & Logging

• Datadog APM
• Loguru

CODING STANDARDS WE FOLLOW

• Async-first: all I/O is async
• No global state
• Dependency injection everywhere
• Repository pattern for data access
• Service layer for business logic
• Small, focused files
• Strong typing and explicit boundaries

NICE TO HAVE

• OAuth 2.0 flows (Gmail, Microsoft Graph)
• DuckDB for analytics
• PDF libraries (PyMuPDF, pypdf2)
• Data engineering or ETL background
• Open-source Python contributions

SOFT SKILLS

• Strong problem-solving ability
• Excellent written and verbal communication
• Self-directed and comfortable working independently
• Comfortable with ambiguity and evolving requirements
• High standards for code quality
• Curiosity and desire to keep learning

INTERVIEW PROCESS

• Technical Screen – Python fundamentals, async patterns, system design
• Coding Exercise – Build a small GraphQL API using the repository pattern
• Architecture Discussion – Review design decisions and tradeoffs
• Team Fit – Collaboration style and working approach

SUMMARY

Ideal Candidate Profile

You are a senior Python engineer with deep async experience, strong typing discipline, and a solid grasp of modern architecture patterns. Experience integrating LLMs and AI systems is highly valued.

You enjoy working in a codebase that prioritizes:

• Type safety over runtime surprises
• Clean architecture over shortcuts
• Dependency injection over global state
• Async patterns over blocking I/O

If you're excited about building serious, AI-powered enterprise systems in modern Python, we'd love to hear from you.

Job Type: Full-time

Pay: ₡34,481, ₡40,228,640.00 per year

Work Location: Remote