Python Developer

Work Mode: Hybrid (3 days a week from the office)

Experience: 5+ years

As a Software Engineer you will

Join a world-class team of Quantum and AI experts with an extensive track record in both

academia and industry.

Work with Fortune-500 customers from government and private sectors.

Contribute to our groundbreaking compressing tool

Tackle high value open problems from industry.

Take on technical leadership and work together with software and DevOps engineers as

well as our machine learning and quantum experts to industrialize the company’s core

technologies

Required Qualifications

Software Engineering

Proven track record designing and implementing production-grade software running under real load

Solid grasp of clean architecture, separation of concerns, SOLID principles, testability and maintainability as first-class concerns

Experience with software design patterns and sound judgment on when (and when not) to apply them

Understands service-level architecture: API design, layered architectures, event-driven patterns, and how to structure code that outlives its author

Good grounding in software security principles: input validation, secret management, dependency auditing, container hardening, secure API design

Experience with containerized deployment fundamentals (Docker) and CI/CD concepts

Python coding experience.

Soft Skills

Proposes solutions to unfamiliar problems: research first, presents alternatives with trade-offs, doesn’t wait to be told the answerBreaks complex cross-repo issues into sequenced, followable steps

Acts as developer, mentor, and reviewer in the same sprint – writes production code, gives PR feedback to mid-level engineers, upholds review standards

Communicates technical risk clearly – surfaces blockers early with context

Comfortable with ambiguity and working under pressure; self-directed

Collaborates cross-functionally (MLOps, DevOps, Platform Engineering) without needing a

manager to mediate

Preferred Qualifications

ML & LLM Exposure

Exposure to PyTorch and/or HuggingFace Transformers (fine-tuning, inference, compression

workflows)

Familiarity with ML infra concepts: training orchestration, experiment tracking, GPU job

Awareness of LLM techniques: distillation, quantization, pruning, inference serving

Some exposure to GPU-aware engineering (CUDA, mixed precision, multi-GPU) is a plus

Tooling & Infrastructure

ECR, ArgoCD/Helm, structured CI/CD pipelines beyond basic Docker

Async long-running job orchestration patterns

Variable performance bonus.Signing bonus.

Relocation package (if applicable).

Flexible remuneration: hospitality and public transportation.

Eligibility for educational budget according to internal policy.

Flexible working hours.

Language classes and discounted lunch options