AI / ML engineer Job

The Role

You'll own the LLM pipeline from retrieval to fine-tuning to deployment. This is a 0?1 role — you'll work directly with founders and domain experts to drive Interexy's AI strategy.

What You'll Be Doing
Own the full LLM lifecycle: retrieval ? evaluation ? fine-tuning.

Build and optimize RAG systems with hybrid search (BM25 + vector).

Make smart architecture calls for speed, reliability, and scale.

Monitor and improve accuracy, grounding, and metrics like and


Collaborate with founders in a flat structure — turning business needs into AI roadmaps.

Technical Must-Haves
Deep experience with LLMs (Llama, Mistral, GPT-4, Claude) and LangChain/LlamaIndex.

Proficiency in hybrid search, reranking, and vector DBs (Pinecone, Weaviate).

Hands-on fine-tuning with LoRA/QLoRA and Hugging Face Transformers.

Expert Python + FastAPI, PyTorch, Redis, Postgres.

Docker & Kubernetes for production AI deployment.

Automated eval loops (groundedness, hallucination checks).

Nice to Have
IoT/hardware integration or real-time systems.

Startup or defense-related AI projects.

CS or Applied ML degree from a top university.

How We Work (Interexy DNA)
Fast execution – ship code, not meeting minutes.

High ownership – no tickets? Find the problem and fix it.

Resilience – you actually enjoy the messy 0?1 phase.

What You Get
Real ownership of the AI roadmap at an international company.

A tight-knit, high-output engineering team.

Flat structure, direct access to leadership, and equity opportunities.

$25–49 / hour based on experience.

Assigned admin team – we handle scheduling, procurement, travel, and other logistics so you can focus 100% on engineering.

Home office stipend – $500 one-time to set up your workspace. xywuqvp


Flexible hours – work when you're most effective.The Role

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