Build High-Impact AI & Production Systems With Us
We are a high-density, remote-first studio of passionate builders, AI researchers, and full-stack architects. No corporate bureaucracy, no busywork — just high-caliber engineering solving tough real-world problems.
Work from wherever you produce your best thinking.
Direct engineering collaboration without middlemen.
Next.js 15, Python, LangGraph, Kafka, PyTorch, vLLM.
Budget for GPU compute, courses, books, and tooling.
Built for Engineers Who Take Pride in Their Craft
We are not a bloated IT consultancy. Whizzly Lab is a lean, highly technical studio of system designers, ML practitioners, and full-stack builders.
Production-Grade or Nothing
We don't build toy prototypes. Every line of code, prompt pipeline, and vector index is engineered for high throughput, sub-second latency, and resilience.
Extreme Ownership & Autonomy
You own systems from architectural RFC to production telemetry. We give you context, resources, and trust — no micromanagement.
Radical Speed & Pragmatism
We favor shipping working increments over endless deliberation. Test hypotheses against real users, iterate fast, and build enduring architecture.
Continuous Craft Elevation
The AI landscape evolves weekly. We experiment with frontier models, open-source weights, and emerging paradigms to stay at the cutting edge.
Open Positions
Explore open roles across our distributed engineering collective.
Senior AI & LLM Systems Engineer
Design and deploy production-grade agentic workflows, multi-modal RAG systems, and low-latency LLM microservices handling tens of thousands of queries.
What You'll Build & Own
- Architect stateful, multi-agent pipelines with LangGraph, LangChain, or custom orchestrators.
- Implement hybrid vector search, chunking strategies, cross-encoders, and semantic caching layers.
- Fine-tune open-weight models (Llama 3, Mistral, DeepSeek) and deploy them via vLLM or Modal with strict latency SLAs.
- Build rigorous automated evaluation suites (Ragas, TruLens) for hallucination detection and prompt regression tests.
- Work directly with founding teams and enterprise clients to define and deliver AI product features.
Requirements & Craft
- 4+ years of software engineering experience with deep Python and FastAPI expertise.
- Demonstrated track record deploying LLM applications into high-availability production environments.
- Deep understanding of vector databases (pgvector, Pinecone, Qdrant) and semantic search algorithms.
- Strong background in token economics, streaming response architecture, and prompt engineering.
- Experience with Docker, cloud deployments (AWS/GCP), and CI/CD pipelines.
Senior Full-Stack Engineer (Next.js / TypeScript)
Craft high-performance, visually stunning web applications, real-time dashboards, and robust API backends that interface seamlessly with our AI engines.
Distributed Systems & Streaming Data Engineer
Build resilient, high-throughput streaming data backbones for real-time NLP classification, crisis alert systems, and enterprise data sync pipelines.
AI Solutions Architect & Tech Lead
Act as the technical bridge between client vision and studio delivery, shaping architecture blueprints and leading high-velocity engineering squads.
Open Application / Engineering Fellowship
Don't see your specific role above? If you're a high-output builder, AI researcher, or design engineer who loves crafting extraordinary software, we'd love to hear from you.
Why Engineers Thrive at Whizzly Lab
We operate with deep respect for developer ergonomics, autonomy, and continuous learning.
Work From Anywhere
100% remote. Flexible hours designed around your flow state and peak focus hours, not clock-in times.
Cutting-Edge Compute & Tooling
Access to top frontier models, GPU clusters, Cursor/Copilot licenses, and premium developer tooling.
Performance & Milestone Bonuses
Direct financial upside tied to client project success, high-impact launches, and studio growth.
Dedicated Learning Stipend
Generous annual budget for books, research papers, specialized ML courses, and technical conferences.
High-Impact Portfolio Projects
Build production systems for venture-backed startups, healthcare innovators, and cybersecurity giants.
Recharge & Wellness
Flexible paid time off, mental recharge days, and respect for weekends and personal focus boundaries.
Join the Engineering Collective
Fill out the form below. We review every single application with engineering eyes and reply within 48 hours.