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Job Description

About us

Forward Labs (https://gainful.io/jobs/FEoZeYGWIjI/l/1) is building superhumans, autonomous AI agents for global freight โ€” the backbone of the global economy โ€” a trillion-dollar industry. (think scale.ai for freight)


The company was founded in San Francisco by 3 friends from Xendit (YC S15, 1st YC unicorn in Asia from Berkeley) โ€” early employees of an exited AI startup & 3 Y Combinator-backed startups from 0 to $1b+.


Weโ€™re now a fully remote team ๐Ÿ‡บ๐Ÿ‡ฒ๐Ÿ‡จ๐Ÿ‡ฆ๐Ÿ‡ฐ๐Ÿ‡ท๐Ÿ‡ต๐Ÿ‡ญ๐Ÿ‡ธ๐Ÿ‡ฌ. Our team is still quite small (<10) โ€” so youโ€™ll have a massive impact on the trajectory of the business from Day One + working with the founders directly and learning about Silicon Valley & emerging market experience.


Backed by Maple VC, Village Global (with LPs such as Jeff Bezos, Bill Gates, etc.), and other Silicon Valley investors and logistics leaders.

What weโ€™re building

Our platform, Forward AI, allows forwarders to automate their processes from booking to tracking and billing - so they can grow their businesses to move goods seamlessly without hiring more staff

Forwarders lose business when they book late. It takes 10-40 emails to book a cargo. Human Agents take 1-5 days on each booking โ€” our AI Agent cuts it to minutes. It cuts costs too, by procuring from 10+ carriers instead of 3. This adds up to 1000s of cargo each day.


Specifically, provision it with a corporate email, and our AI Agent takes care of inquiry, approval, quotation, procurement, and billing. It runs on GPT to talk to shippers, employees & carriers. And, we built a backend OS to pull pricing data & log new bookings like a TMS.

About the role

Responsibilities

  • Work closely with various stakeholders (primarily clients & customer success team) to gather requirements and translate them into technical specifications
  • Develop across technology stacks, including frontend, backend, databases, DevOps, automated testing, and alerting systems
  • Work across the entire product lifecycle from conceptualization to production
  • Architect and develop end-to-end operational solutions leveraging AI platform - focusing on accuracy, speed, and scalability
  • Design and develop robust integrations with various external freight (TMS) & communication (email) systems - utilizing APIs or RPAs
  • Write high-quality, maintainable, and testable code
  • Proactively seek and implement improvements to the teamโ€™s processes, codebases, and best practices

Example projects

  • Interoperable operational dashboard: to build a production-ready command center with the correct abstraction - supporting a variety of tasks with minimal customizations.
  • Multi-tenant workforce tool: to develop operational tools & integrations with reliability and scalability incorporated
  • Realtime document ingestion: to establish data ingestion infrastructure for both structured and unstructured data
  • Reverse engineering third-party software: to figure out the right architecture to integrate with external software without APIs - RPAs
  • Email onboarding/integration: to design 2-way integrations with multiple email providers, which even non-technical users can initiate
  • Automated QA: QA automation for UIs, internal APIs, and external integrations

Tech stack

We are tech-stack agnostic in terms of the skill sets we are looking for, but the tech stack looks like the below (expect this to change as we grow):

  • LLMs: OpenAI, Hugging Face, Mistral, DocumentAI
  • Backend: Python, FastAPI, Typescript, Supabase
  • Frontend: Next.js, GraphQL, Refine
  • Infrastructure: AWS, GCP, Docker

A great fit, some or all of the following

  • Strong understanding of system designs (idempotency, circuit breaker, message queues, etc)
  • Familiarity with unit, integration, and E2E test frameworks
  • Familiarity with instrumenting monitoring systems for ensuring the quality of the products in production (Sentry, Pagerduty)
  • Is scrappy, comfortable with ambiguity, taking end-to-end ownership to ship, and values progress over perfection
  • Wants to set, maintain, and adhere to great software engineering standards (architecture review, comments, testing, documentation)
  • Never bored of spending time on your favorite newsfeed (e.g. Twitter, GitHub) browsing the latest computer concepts, codebase, and system designs
  • Are enthusiastic about the vertical applications of AI/LLMs in logistics & future of work in particular
  • Comfortable communicating in English

Bonus points

  • Experience working with AI/freight startups
  • Familiarity with AWS & GCP
  • Want to be a founder someday
  • Strong remote working communication skills

Interview Process

We expect the process to be complete within weeks.

  1. Video Call with founder(s): Values, culture-fit, getting to know more about you, and answer your questions about Forward Labs.
  2. [If needed] Take-home assignment/sample work submission
  3. Work trial (2 days to 1 week depending on availability and scope): to help you get a sense of how it feels to work with Forward Labs and vice versa. This will include, but not limited to - system architecture, prototyping, demo

Email job-FEoZeYGWIjI@gainful.io for more details.

Instructions to Apply