Назад
Company hidden
1 час Π½Π°Π·Π°Π΄

AI Engineer

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
TL;DR
AI Engineer (LLMs and Agentic AI): Building production-ready AI workflows, models, and data pipelines for an autonomous AI Production Engineer with an accent on LLM fine-tuning, model evaluation, and high-volume data processing. Focus on researching reinforcement learning, retrieval-augmented generation, and autonomous reasoning while optimizing performance and compute costs.

Location: San Francisco, United States; on-site

Company

hirify.global is building an autonomous AI Production Engineer that investigates and fixes complex production and system issues end-to-end.

What you will do

  • Develop AI-powered workflows and production-ready AI models for production engineering and reliability use cases.
  • Build and optimize high-volume data pipelines for structured and unstructured data used in training and evaluation.
  • Design benchmarks to evaluate model performance and reduce compute costs.
  • Fine-tune and train large language models.
  • Research reinforcement learning, retrieval-augmented generation, autonomous reasoning, and multi-agent techniques.
  • Translate research into scalable AI-powered solutions in collaboration with engineering and research contributors.

Requirements

  • Deep experience with foundation models such as GPT-4, Llama, or Gemini, including fine-tuning, prompt engineering, and optimization.
  • Strong software engineering skills in Python, Go, or C++, with experience in distributed systems and cloud infrastructure.
  • Experience with large-scale data pipelines, embeddings, vector databases, or search.
  • Understanding of transformers, deep learning, and self-supervised learning.
  • Ability to work on-site in San Francisco.

Nice to have

  • Experience with RLHF or RLCEF.
  • Experience with retrieval-augmented generation or multi-agent AI systems.

Culture & Benefits

  • End-to-end ownership in a collaborative, high-trust environment.
  • Medical, dental, and vision insurance.
  • Monthly housing stipend and flexible unlimited paid time off.
  • Visa sponsorship and immigration support.
  • 401(k), parental leave, and technology stipend.
  • Daily in-office lunches and dinners.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’