AI + Full Stack Engineer InternJetty AI · Remote · US + India Team
Most AI internships today are glorified prompt engineering.
This is not that.
At Jetty AI, we are building production grade AI systems across:
- agent workflows
- memory architectures
- RAG pipelines
- evaluation systems
- observability + monitoring layers
- AI operational dashboards
- private/local AI runtimes
- AI copilots
- multimodal workflows
- enterprise AI infrastructure
You will work directly on real products already being used and deployed.
Some of the projects we are actively building include:
- Longitudinal memory systems for AI wellness products
- Local first AI agent runtime environments
- Enterprise RAG systems with advanced retrieval and reranking
- AI evaluation and hallucination detection pipelines
- Agent orchestration frameworks
- Operational dashboards for monitoring AI systems in production
- AI powered copilots for operations, healthcare, and enterprise workflows
- React Native mobile experiences deeply integrated with LLM systems
We are looking for builders.
Not resume collectors.
If your main goal is adding AI internship to LinkedIn, this is probably not for you.
If you obsess over:
- shipping fast
- solving hard problems
- building real systems
- understanding users and business problems
- learning production AI
- working with frontier tooling
keep reading.
Tech Stack
You should already be comfortable with several of the following:
- React Native
- FastAPI
- PostgreSQL / Supabase / vector databases
- Python
- TypeScript
- AI APIs and LLM integrations
- RAG pipelines
- evaluation frameworks
- observability and monitoring systems
- operational dashboards and analytics
- embeddings and retrieval systems
- backend APIs and distributed systems
- iOS and Android deployment workflows
- App Store + Google Play publishing
Bonus if you have worked with:
- LangGraph
- Ollama
- Qdrant
- Grafana
- OpenTelemetry
- vLLMs
- Claude / OpenAI APIs
- reranking pipelines
- memory architectures
- agent frameworks
- Expo EAS or native mobile release pipelines
What makes this role different
You will:
- work directly with founders
- touch production systems quickly
- contribute code that ships
- learn applied AI faster than most enterprise jobs
- operate with high ownership and autonomy
This is a very high growth role.
The people who survive here will likely become:
- founding engineers
- AI architects
- startup CTOs
- product builders
There is a 1 month trial period. Rs 50k/month, then Double pay and based on performance bonus
But here's the important part:
Compensation can increase aggressively within the first month based purely on performance, ownership, speed, and reliability.
We reward output and execution.
Not titles.
And one thing very clearly:
Cultural fit matters enormously here.
We are building a long term core team.
I would rather move slower with the right people than move fast with toxic ego, politics, poor communication, or low ownership.
No matter how technically strong someone is, I will not compromise culture.
We are looking for people who genuinely want to build together for years.
We are looking for the top .1%.
If that's you:
comment below with:
- what you've built
- GitHub
- portfolio
- products
- demos
- weird side projects
- AI experiments
Show us proof of work.
Not buzzwords.
- #AI #ReactNative #FastAPI #RAG #LLMs #ArtificialIntelligence #StartupJobs #Hiring #MobileDevelopment #iOS #Android #MachineLearning #Python #TypeScript #AIEngineering
