Senior Python Engineer (Infrastructure, AI Platform )

At Variant Group, we are at the forefront of reimagining day-to-day challenges.

Our B2C SaaS products transform complex tasks — from creating standout resumes to generating legal documents — into simple, engaging user experiences.

pdf.net is the fastest-growing product in our portfolio. Thanks to bold product breakthroughs, it already serves hundreds of thousands of users every month, and is on track for even greater growth.

To support this scale, we are hiring a Senior Python Engineer with expertise in backend infrastructure, API development, and MLOps/LLM platform support.

Variant Products

• resume.co, resumetemplates.net, coverletter.co, cv.co → Live since May 2023

• contracts.net → Live since Jan 2024

• pdf.net → Live since Dec 2024

• mealplan.co → Live since Aug 2025

What You’ll Do

• Design and maintain Python microservices and REST APIs (FastAPI) powering internal AI and NLP workflows.

• Build MCP (Model Control & Processing) services that interface with LLMs, vector stores, and pipelines.

• Develop robust CI/CD and deployment workflows for our AI products (GitHub + Docker + Cloud Run + Terraform).

• Ensure smooth collaboration between infra and NLP/ML teams, helping ship features and optimize model serving.

• Improve and maintain monitoring, observability, and logging stacks (Prometheus, Grafana, OpenTelemetry).

• Create developer tools and internal SDKs to accelerate the AI team’s experiments and production rollout.

• Participate in incident response and optimize system performance across environments.

• Participate in incident response and optimize system performance across environments.

What You Bring

• 6+ years of experience in backend software engineering with Python.

• Strong Python engineering background with clean, tested, and maintainable code.

• Understanding of semantic search, vector storage (pgvector), and hybrid symbolic-neural approaches.

• Experience designing or consuming graph-based knowledge systems (JanusGraph).

• Deep understanding of REST API design, async I/O, and data serialization.

• Strong grasp of containerization (Docker) and cloud deployment (GCP, Cloud Run, GKE, Terraform).

• Hands-on experience with PostgreSQL, Redis, and Pub/Sub or task queues (RQ).

• Experience working closely with machine learning or NLP teams — integrating APIs, pipelines, or inference systems.

• Comfort with debugging, profiling, and improving performance in distributed systems.

Bonus Points For

• Experience with vLLM, OpenAI, or other LLM inference systems.

• Familiarity with pgvector, JanusGraph, or hybrid search infrastructure.

• Knowledge of CI/CD automation using GitHub Actions or similar tools.

• Background in DevOps, platform engineering, or site reliability.

• Understanding of structured document parsing, OCR, or semantic retrieval pipelines.

Working with us

• Pure Data-Driven SaaS Learn and experiment, no opinion-driven decisions.

• Location Independence Work from a location that suits you - be it your home, a café, or anywhere else.

• Unlimited Time Off We trust you to take time off when you need, ensuring you’re always at your best when you’re with us.

• Results-Oriented We believe in the quality of output over hours clocked in. Deliver excellence, and enjoy unparalleled autonomy in return.

• Salary & Contract Compensation: $60,000 — $90,000/year. Paid via deel.com (standard contract). Asia/Pacific or EU timezone.

Steps to apply?

1. Submit via Google Forms (~6 mins).

2. After your resume is reviewed, you'll be invited to undertake a small test assignment, requiring up to 8 hours of your time.

3. We'll invite you for a call with our Lead AI Engineer.