Ahead Labs (https://forwardlabs.ai/) is development superhumans, self sufficient AI brokers for world freight — the spine of the worldwide financial system — a trillion-dollar trade. (suppose scale.ai for freight)
The corporate was once based in San Francisco via 3 buddies from Xendit (YC S15, 1st YC unicorn in Asia from Berkeley) — early workers of an exited AI startup & 3 Y Combinator-backed startups from 0 to $1b+.
We’re now a completely faraway crew 🇺🇲🇨🇦🇰🇷🇵ðŸ‡ðŸ‡¸ðŸ‡¬. Our crew continues to be somewhat small (<10) — so that you’ll have an enormous have an effect on at the trajectory of the industry from Day One + operating with the founders at once and finding out about Silicon Valley & rising marketplace revel in.
Sponsored via Maple VC, Village World (with LPs corresponding to Jeff Bezos, Invoice Gates, and so on.), and different Silicon Valley traders and logistics leaders.
Our platform, Ahead AI, lets in forwarders to automate their processes from reserving to monitoring and billing – so they may be able to develop their companies to transport items seamlessly with out hiring extra body of workers
Forwarders lose industry once they e-book past due. It takes 10-40 emails to e-book a shipment. Human Brokers take 1-5 days on every reserving — our AI Agent cuts it to mins. It cuts prices too, via shopping from 10+ carriers as an alternative of three. This provides as much as 1000s of shipment every day.
Particularly, provision it with a company e-mail, and our AI Agent looks after inquiry, approval, citation, procurement, and billing. It runs on GPT to speak to shippers, workers & carriers. And, we constructed a backend OS to drag pricing information & log new bookings like a TMS.
Tasks
- Paintings intently with quite a lot of stakeholders (basically shoppers & buyer luck crew) to assemble necessities and translate them into technical specs
- Increase throughout generation stacks, together with frontend, backend, databases, DevOps, computerized trying out, and alerting programs
- Paintings throughout all the product lifecycle from conceptualization to manufacturing
- Architect and expand end-to-end operational answers leveraging AI platform – specializing in accuracy, pace, and scalability
- Design and expand powerful integrations with quite a lot of exterior freight (TMS) & communique (e-mail) programs – using APIs or RPAs
- Write fine quality, maintainable, and testable code
- Proactively search and put into effect enhancements to the crew’s processes, codebases, and highest practices
Instance initiatives
- Interoperable operational dashboard: to construct a production-ready command heart with the right kind abstraction – supporting a number of duties with minimum customizations.
- Multi-tenant team of workers software: to expand operational equipment & integrations with reliability and scalability integrated
- Realtime record ingestion: to ascertain information ingestion infrastructure for each structured and unstructured information
- Opposite engineering third-party instrument: to determine the correct structure to combine with exterior instrument with out APIs – RPAs
- Electronic mail onboarding/integration: to design 2-way integrations with more than one e-mail suppliers, which even non-technical customers can start up
- Automatic QA: QA automation for UIs, interior APIs, and exterior integrations
Tech stack
We’re tech-stack agnostic with regards to the ability units we’re in search of, however the tech stack looks as if the underneath (be expecting this to modify as we develop):
- LLMs: OpenAI, Hugging Face, Mistral, DocumentAI
- Backend: Python, FastAPI, Typescript, Supabase
- Frontend: Subsequent.js, GraphQL, Refine
- Infrastructure: AWS, GCP, Docker
A perfect match, some or the entire following
- Robust figuring out of machine designs (idempotency, circuit breaker, message queues, and so on)
- Familiarity with unit, integration, and E2E take a look at frameworks
- Familiarity with instrumenting tracking programs for making sure the standard of the goods in manufacturing (Sentry, Pagerduty)
- Is scrappy, ok with ambiguity, taking end-to-end possession to send, and values growth over perfection
- Desires to set, care for, and cling to nice instrument engineering requirements (structure evaluate, feedback, trying out, documentation)
- By no means bored of spending time in your favourite newsfeed (e.g. Twitter, GitHub) surfing the newest pc ideas, codebase, and machine designs
- Are captivated with the vertical programs of AI/LLMs in logistics & long run of labor specifically
- Comfy speaking in English
Bonus issues
- Enjoy operating with AI/freight startups
- Familiarity with AWS & GCP
- Need to be a founder one day
- Robust faraway operating communique abilities
We think the method to be entire inside weeks.
- Video Name with founder(s): Values, culture-fit, getting to grasp extra about you, and resolution your questions on Ahead Labs.
- [If needed] Take-home task/pattern paintings submission
- Paintings trial (2 days to at least one week relying on availability and scope): that can assist you get a way of the way it feels to paintings with Ahead Labs and vice versa. This will likely come with, however now not restricted to – machine structure, prototyping, demo
