What You Bring

• Strong Python engineering background with production-grade code, tests, and maintainable service architecture.
• Hands-on experience with PyTorch and HuggingFace, including training, fine-tuning, inference, and model debugging.
• Solid understanding of transformer internals, tokenization, embeddings, decoding strategies, and evaluation trade-offs.
• Experience integrating OpenAI / Anthropic APIs into real user-facing products, not just prototypes.
• Practical experience with RAG systems: chunking, embedding pipelines, vector search, reranking, context construction, and hallucination reduction.
• Experience with vector stores such as pgvector or FAISS; understanding of when retrieval helps and when deterministic pipelines are better.
• Familiarity with document understanding workflows: OCR, PDF parsing, table/form extraction, and normalization of messy real-world inputs.
• Experience building scalable inference or model-serving systems; familiarity with vLLM or similar serving stacks is a plus.
• Ability to debug model quality issues across prompts, retrieval, data, evaluation sets, and inference behavior.
• Comfortable owning systems in production: deployment, monitoring, incident debugging, and iterative improvement.

Bonus Points For

• Experience deploying ML/AI services with Docker on GCP (Cloud Run, GKE).
• Experience with OpenTelemetry, Prometheus, Grafana, or similar observability tooling.
• Experience with Neo4j or other graph-based knowledge systems where graph retrieval actually improves product behavior.
• Experience with RLHF, preference data, or ranking/reward modeling.
• Strong background in document understanding, OCR, and structured PDF parsing.
• Experience optimizing inference for latency and cost using batching, caching, routing, or speculative decoding.

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 — $132,000/year gross.
• Paid via deel.com (standard contract).
• Asia/Pacific or EU timezone.

How to apply?

Submit via Google Forms (5-8 mins). After a successful resume review, you'll be invited for an interview. If needed, we may ask you to complete a short test assignment (2–4 hours maximum).