Job Description

Engineering Manager

About the Role

We are seeking a hands‑on Engineering Manager to lead coding data annotation and validation workstreams that support the training and evaluation of Large Language Models (LLMs).

This role combines technical ownership, workflow execution, and people leadership. You will lead engineers and coding annotators while remaining actively involved in coding, system design, reviews, and quality enforcement.

Responsibilities

  • Own end‑to‑end delivery of coding data generation and validation workstreams
  • Lead client‑facing execution; manage requirements, expectations, and delivery outcomes
  • Partner with internal stakeholders (Delivery, PM, Research) to drive execution and quality
  • Architect and run automation, execution environments, and quality gates
  • Review code for correctness, clarity, robustness
  • Deliver SFT, RLHF, benchmarks, verifiers, and GYM systems (UI & non‑UI)
  • Stay hands‑on in Python; use JS/TS or other languages as needed
  • Identify and resolve quality, scale, or delivery risks via root‑cause fixes
  • Lead engineers and annotators across defined workstreams
  • Enforce coding standards, review processes, and quality frameworks
  • Mentor team on code quality and debugging rigor
  • Support hiring, onboarding, and ramp‑up
  • Collaborate with tooling and infra teams on execution pipelines
  • Communicate status, risks, and trade‑offs clearly to clients and stakeholders

Required Skills

  • 7+ years hands‑on software engineering experience
  • Experience leading engineering/coding teams while staying hands‑on
  • Ownership of code quality, reviews, and debugging
  • Experience with competitive programming, multi‑language code analysis, or system‑level debugging
  • Exposure to backend services, databases, automation workflows, or execution pipelines
  • Experience with React/Next.js or GYM (UI/non‑UI) systems
  • Ability to architect and deliver end‑to‑end systems for coding annotation or LLM data workflows
  • AI‑forward mindset; personal AI projects or GitHub contributions are a plus

Preferred Skills

  • Experience with the Agentic System is good to have.
  • Experience building annotation tools, automation systems, or developer platforms.
  • Open‑source (GitHub) or AI tooling contributions.

Seniority level

  • Mid‑Senior level

Employment type

  • Full‑time

Job function

  • Consulting, Information Technology, and Research

Industries

  • IT Services and IT Consulting, Technology, Information and Internet, and Software Development

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