Senior Back End Engineer, AI Products

Altruist•San Francisco, CA

5h•$203,000 - $249,000•Hybrid

About The Position

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! Altruist is in the midst of an exceptional growth phase and we’re excited to hire our first Staff Back End Engineer focused on building innovative Generative AI products for Altruist’s advisors in the newly formed AI Labs team.

Requirements

6+ 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.
Ideally looking for a B.A. / B.S. degree in relevant fields such as Computer Science or similar Engineering/Mathematics degrees
You’re technologically savvy and can easily get up to speed on modern tech stacks (we use Java, Spring Boot, Microservices, AWS, Postgres, Kubernetes)
The pride you put into every aspect of your work is unparalleled and undeniable
intentional dialogue is a superpower. You listen as well as you share your perspective with others.
We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along way
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.
Identifying the problem is simply not enough. You’re instinctually creative with your approach in finding solutions to roadblocks.

Nice To Haves

Prior experience steering AI model output using techniques such as prompt engineering, supervised finetuning, and reinforcement learning.

Responsibilities

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

Benefits

A hybrid work schedule for most positions to promote strong, in-person collaboration and a healthy work-life-balance.
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, entertainment 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.