Website:
skygnosis.com
Job details:
About Skygnosis
We're an AI engineering studio that ships production AI MVPs in 28 days. Not proof-of-concepts. Not slide decks. Working AI agents, RAG pipelines, LLM integrations, and full-stack AI systems — in production.
We run on a fixed-scope methodology called the Inference Engine™. Day 1 we scope. Day 3 we build. Day 28 the client has production code. Every time.
Why We're Always Looking
We don't post jobs when we're desperate. We post jobs because the right engineers are rare, and when we find them, we want to know about it — whether we have an immediate opening or not.
If you build things — not decks, not strategy documents, not "proofs of concept" — we want to talk.
What We Build
- RAG agents and retrieval systems
- LLM integrations and fine-tuning pipelines
- AI-powered workflow automation
- Full AI MVPs from brief to production
What We're Looking For
- You've shipped AI systems into production (not just prototyped)
- You understand the gap between a demo and a deployable system
- You care about reliability, latency, and real-world constraints — not just benchmark scores
- You're honest about what AI can and can't do
- You work well in a fast, fixed-scope environment
Nice to Have
- Experience with LangChain, LlamaIndex, CrewAI, or similar frameworks
- Familiarity with vector databases (Pinecone, Weaviate, Chroma, pgvector)
- Python proficiency
- Experience with cloud deployments (AWS, GCP, Vercel, Railway)
What We Offer
- Fully remote
- Work on real production AI systems (not internal tools)
- Fixed-scope projects — you always know what you're building and when it ships
- Competitive rates
How to Apply
Send us a link to something you've built — a GitHub repo, a deployed product, a write-up of a system you designed. We don't need a CV. We need proof you ship.
Click on Apply to know more.