About The Position

Parasail is building the AI Supercloud, helping AI teams deploy and scale inference across a distributed network of GPUs. We make it easier for developers to bring AI applications into production with the performance, reliability, and flexibility they need. We’re looking for 2027 graduates who love building software, are curious about AI, and want to work directly with the people using what they build. As a Forward Deployed Engineer, you’ll help customers turn ideas into working applications—and use what you learn to make Parasail better.

Requirements

  • Completing a bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field in 2027, or equivalent practical experience.
  • Experience building software through coursework, internships, research, open-source contributions, or personal projects.
  • Proficiency in at least one programming language, such as Python, TypeScript, or Go.
  • A foundation in software engineering fundamentals, including data structures, APIs, testing, and debugging.
  • Clear written and verbal communication, with an interest in explaining technical ideas and understanding other people’s goals.
  • Resourcefulness when facing an unfamiliar problem: you ask thoughtful questions, test assumptions, and follow through.
  • Curiosity about AI models, inference, and what it takes to run AI applications in production.
  • Enthusiasm for working directly with customers and collaborating in a fast-moving startup.
  • Strong fundamentals, evidence that you enjoy building, and a willingness to learn.

Nice To Haves

  • Projects using LLMs, open-source models, or inference APIs.
  • Familiarity with cloud infrastructure, Linux, containers, or distributed systems.
  • Experience measuring application performance or evaluating model outputs.
  • Experience helping others solve technical problems through teaching, tutoring, technical communities, or customer-facing work.

Responsibilities

  • Work at the intersection of software engineering, AI infrastructure, and customer problem-solving.
  • Help customers understand their requirements, build and test solutions, and bring real workloads into production.
  • Write code, investigate technical problems, and see firsthand how your work affects a customer’s product.
  • Receive guidance and mentorship while taking on increasing ownership of projects from initial discovery through deployment.
  • Build integrations and example applications that connect customers’ products to Parasail’s inference platform.
  • Turn a customer’s use case into a working prototype, then evaluate model quality, latency, throughput, and cost against their needs.
  • Help customers move from a successful experiment to a reliable deployment, working through issues such as concurrency, retries, streaming, and error handling.
  • Reproduce and diagnose issues across application code, API integrations, and inference workloads, partnering with engineering to resolve them.
  • Turn lessons from customer projects into examples, documentation, and tooling that help the next developer get started faster.
  • Bring customer feedback into product and engineering discussions, helping the team identify improvements that benefit many users.

Benefits

  • Build for real users. Work directly with developers and see your contributions become part of their applications.
  • Learn across the stack. Develop practical experience in AI applications, inference infrastructure, and production engineering.
  • Grow through ownership. Take on meaningful projects with support from experienced teammates.
  • Help shape the product. Turn what you learn from customer deployments into improvements to Parasail’s platform and developer experience.
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