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Senior Full-Stack Python Engineer

hace 2 semanas


Remote, Perú Flow RMS A tiempo completo

**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 3.11+ (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

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

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.

Pay: S/.200,000.00 - S/.240,000.00 per year

Work Location: Remote