What You Will Do ?

You will design, build & ship AI-backed features that are reliable in production

• Define the quality bar: design eval rubrics, test plans, and rollout criteria. Make sure they’re measurable and enforced.
• Build with real-world constraints: write and extend production code, set up monitoring, and add tests that catch regressions before users do.
• Own features end to end from problem framing to modeling, from system design to rollout and iteration.
• Debug failures across the stack including data, infra, model, prompt logic and harden the system with what you learn.
• Design and implement systems: retrieval pipelines, agents, or hybrid patterns, based on what the problem actually needs.
• Work across functions: collaborate with product, infra, and engineers to ship features that actually stick.

What It Takes ?

You have built and shipped AI systems before and carried the load when things broke post-launch.

• Strong research instincts: you are good at defining what “working” means and designing evaluations that reflect real-world usage.
• Solid engineering skills: you write clean, testable Python, debug at system boundaries, and know your way around production stacks.
• LLM understanding: you have worked with modern models and know how to prompt, fine-tune, or wrap them with tooling and evaluation.
• Systems mindset: you think in interfaces, data contracts, failure modes, and rollout plans, not just model tweaks.
• Practical bias: you care more about what ships and survives than what’s novel.
• Ownership: you take initiative, communicate clearly, and push for quality without being asked.

Why Enterpret?

• We build AI systems that people can trust because they have been tested, monitored, and hardened through real usage.
• We care deeply about quality . Eval plans, incident retros, and per-tenant guardrails aren't checkboxes, they're the core of how we build.
• We believe research belongs in production , not just papers. You will see your ideas live in running systems within weeks, not years.
• We are small enough that every engineer matters , and focused enough that there's no busywork, just high-impact problems.
• You will be part of a team that runs toward hard, ambiguous challenges and sees them through to working, reliable systems.
• There is no playbook here, we are writing it as we go. If that excites you, not scares you, you will thrive here.