- Страна
- США
- Зарплата
- 275 000 $ – 325 000 $
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Staff Back End Engineer, AI Products
Высокая заработная плата, работа над передовыми AI-продуктами в перспективном финтех-стартапе и отличный пакет льгот. Единственный минус для некоторых — требование присутствия в офисе 4 дня в неделю.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний в Backend-разработке (Java/Spring), но и практического опыта внедрения GenAI в продакшн. Высокая планка ожиданий по лидерству и архитектурному видению в быстрорастущем стартапе.
Анализ зарплаты
Предлагаемый диапазон $275k–$325k находится на верхнем уровне рыночных значений для Staff-инженеров в Сан-Франциско, что отражает высокую востребованность специалистов на стыке Backend и Generative AI.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Back End Engineer position for AI Products at Altruist. With over 8 years of experience in building scalable distributed systems and a deep focus on Generative AI frameworks like LangChain and RAG, I am excited about the opportunity to contribute to the AI Labs team. My background in Java and Spring Boot, combined with my experience in deploying production-ready AI solutions, aligns perfectly with your current tech stack and mission to transform wealth management.
In my previous roles, I have successfully led the development of customer-centric AI applications, focusing on performance and scalability. I am particularly drawn to Altruist's commitment to brilliance and grit, and I am eager to apply my expertise in vector databases and LLM integrations to help financial advisors achieve 10x growth. I look forward to the possibility of bringing my technical leadership and passion for innovative AI products to your San Francisco team.
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Описание вакансии
About Altruist
Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients.
We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you!
But first, our values
Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.
Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.
Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.
About Hazel
Hazel is building the AI engine for wealth management that helps unlock 10x growth, efficiency and value for financial advisors and their clients in a regulated industry. Since its launch last September, Hazel has organically and rapidly grown its user base.
Hazel is a part of Altruist’s broader mission to make financial advice better, more affordable, and accessible to all.
This role is hybrid, with four in-office days per week at our San Francisco FiDi location.
The opportunity
Altruist is in the midst of an exceptional growth phase and we’re excited to hire a Staff Back End Engineer focused on building innovative Generative AI products for Altruist’s advisors in the newly formed AI Labs team. Title can be flexible depending on experience.
Your impact
- Act as a leader and steward of engineering best practices, helping to mentor other engineers and develop impactful solutions.
- Analyze and solve complex problems spanning multiple user personas and workflows
- Focus on building and scaling services and user facing web applications
- Build customer centric scalable and performant AI-driven applications and features
- Develop and maintain scalable data pipelines and ELT processes
- Build new data integrations based on established requirements
- Perform data analysis to investigate and resolve data issues
What you bring
- Experience - 8+ years of software engineering experience building precise and scalable distributed systems with best engineering practices
- Experience with Generative AI frameworks and tools (RAG, Langchain, Vector database and other emerging agentic frameworks).
- Prior experience delivering impactful Gen-AI products in production.
- Familiarity with AI/ML use cases such as content generation, summarization or natural language processing(NLP).
- Familiarity with integrating third-party AI APIs and services using platforms like OpenAI, Hugging Face, and Anthropic.
- Education - Ideally looking for a B.A. / B.S. degree in relevant fields such as Computer Science or similar Engineering/Mathematics degrees
- Technical aptitude - You’re technologically savvy and can easily get up to speed on modern tech stacks (we use Java, Spring Boot, Microservices, AWS, Postgres, Kubernetes)
- Ownership - The pride you put into every aspect of your work is unparalleled and undeniable
- Superb communication - intentional dialogue is a superpower. You listen as well as you share your perspective with others.
- Resilience - We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along way
- Assurance - Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives.
- Creative problem solving - Identifying the problem is simply not enough. You’re instinctually creative with your approach in finding solutions to roadblocks.
- Bonus Points - Prior experience steering AI model output using techniques such as prompt engineering, supervised finetuning, and reinforcement learning.
San Francisco, CA salary range
$275,000—$325,000 USD
What we bring
Attracting and retaining top-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- A hybrid work schedule for most positions to promote strong, in-person collaboration.
- Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
- Competitive pay and equity for eligible positions.
- Premium healthcare, dental, and vision insurance plans (HMO and PPO).
- 401k savings plan with a 4% match and immediate vesting.
- 16 week paid parental leave.
- Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
- Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
- Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
- One month work from anywhere policy (with the exception of a few countries).
Total compensation includes a competitive benefits package, along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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Навыки
- Java
- Spring Boot
- Microservices
- PostgreSQL
- AWS
- Kubernetes
- Generative AI
- RAG
- LangChain
- Vector Database
- LLM
- NLP
- OpenAI
- Hugging Face
- Anthropic
- Prompt Engineering
Возможные вопросы на собеседовании
Проверка опыта работы с ключевыми технологиями GenAI, упомянутыми в вакансии.
Расскажите о вашем опыте внедрения RAG (Retrieval-Augmented Generation) в высоконагруженных системах. С какими основными проблемами вы столкнулись?
Оценка архитектурных навыков на уровне Staff.
Как бы вы спроектировали масштабируемый конвейер обработки данных для интеграции сторонних AI API (например, OpenAI или Anthropic) с учетом лимитов (rate limits) и отказоустойчивости?
Проверка навыков оптимизации и работы с векторными данными.
Какие критерии вы используете при выборе векторной базы данных для конкретного бизнес-кейса и как вы оптимизируете поиск по сходству?
Оценка лидерских качеств и менторства.
Опишите случай, когда вам пришлось внедрять новые инженерные практики в команде. Как вы справлялись с сопротивлением и оценивали успех?
Проверка понимания специфики AI-продуктов.
Как вы подходите к тестированию и оценке качества ответов LLM в продуктовой среде, где важна точность (особенно в финансовой сфере)?
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- Страна
- США
- Зарплата
- 275 000 $ – 325 000 $