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Senior AI Engineer
Отличная вакансия для опытного инженера: работа с передовым стеком (LLM, RAG, GCP), четкие цели на первый год и сильный социальный пакет. Компания предлагает возможности для лидерства и создания стандартов разработки с нуля.
Сложность вакансии
Роль требует глубокой экспертизы как в классической разработке (Python, API), так и в специфических LLM-технологиях (RAG, LangChain, векторные БД). Высокая сложность обусловлена необходимостью внедрения LLMOps и обеспечения этичности и безопасности ИИ-решений на уровне Enterprise.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Senior AI Engineer в США (Атланта, Остин, Нью-Йорк) рыночные вилки значительно выше средних по IT. Учитывая требования к 6+ годам опыта и экспертизе в LLM, компенсация должна находиться в верхнем сегменте рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior AI Engineer position at Further. With over 6 years of software engineering experience and a deep focus on building production-grade AI applications, I am excited about the opportunity to bridge the gap between experimental prototypes and enterprise-ready solutions. My expertise in Python, FastAPI, and LLM frameworks like LangChain and LangGraph aligns perfectly with your mission to help companies turn raw data into meaningful decisions.
In my previous roles, I have successfully architected RAG systems and implemented LLMOps workflows, ensuring that AI models are not only functional but also scalable and ethical. I am particularly drawn to Further's focus on Google Cloud Platform and your commitment to a culture where work has a positive impact. I am confident that my technical skills in vector databases and my experience in mentoring engineering teams will allow me to contribute significantly to your AI product suite within the first year.
Составьте идеальное письмо к вакансии с ИИ-агентом

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Описание вакансии
WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
SENIOR AI ENGINEER
We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.
What experience should you have:
- 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
- Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
- Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
- Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
- Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
- Experience in Typescript development for prototyping and integrations
- Proficiency with git workflows and understanding of standard application development processes
Preferred Qualifications
- Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
- Experience optimizing inference costs and latency for large-scale deployments.
- Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
- Any Google Cloud Professional Certification
What you’ll be doing in this role:
- Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
- Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
- Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
- Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
- Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
- Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
- Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
- Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.
What you’ll need to accomplish in your first year:
- Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
- Mentor engineers on best practices for building deterministic software around probabilistic AI models.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
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By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.
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Навыки
- Python
- Google Cloud Platform
- FastAPI
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- PostgreSQL
- TypeScript
- REST
- GraphQL
- gRPC
- Git
- LLMOps
- RAG
Возможные вопросы на собеседовании
Проверка опыта работы с ключевым стеком и понимания жизненного цикла LLM-приложений.
Расскажите о вашем опыте внедрения LLMOps: как вы организуете версионирование моделей и мониторинг дрейфа данных в Google Cloud?
RAG является центральной частью описания вакансии. Важно понять, как кандидат оптимизирует поиск.
Какие стратегии индексации и поиска в векторных базах данных вы использовали для минимизации галлюцинаций и повышения скорости ответа?
Вакансия подразумевает создание надежных систем из вероятностных моделей.
Как вы подходите к тестированию и обеспечению детерминированного поведения систем, построенных на базе вероятностных LLM-моделей?
Оценка навыков проектирования высоконагруженных систем.
Опишите архитектуру API на FastAPI, которую вы бы спроектировали для обработки тысяч одновременных запросов к LLM с учетом ограничений по latency.
Проверка soft skills и опыта наставничества, указанного в задачах на первый год.
Был ли у вас опыт менторства других инженеров? Как вы обучали команду лучшим практикам разработки в области AI/ML?
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