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Vanilla · 17 hours ago

Staff Software Engineer - AI Applications - Remote

United States

Full-time

Remote

Lead/Staff

$190K/yr - $210K/yr

8+ years exp

Vanilla is a startup aiming to modernize estate planning through an AI-powered platform. The Staff Software Engineer - AI Applications will utilize Large Language Models to develop AI applications, collaborating with engineering and subject matter experts to innovate and streamline workflows.

Artificial Intelligence (AI)Financial ServicesFinTechInformation TechnologySoftwareWealth Management

No H1B

Responsibilities

Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI

You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results

You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights

You can build tooling to support model training, evaluation, inference serving, monitoring and alerting

You want to use the latest ML frameworks and open source tools to develop new model training pipelines

Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust

You have experience building microservices and understand the tradeoffs of the approach

Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data

Database management: You are able to design and implement schemas, optimize queries, and manage database performance

Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders

Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects

Qualification

Machine LearningArtificial IntelligenceLarge Language ModelsSoftware EngineeringPythonJavaScriptData HandlingDatabase ManagementProject ManagementCollaborationProblem SolvingCritical Thinking

Required

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience

8+ years relevant work experience

Proficiency in modern programming languages such as Python or Javascript

Experience with OpenAI, Anthropic, or similar for both chat and API interfaces

Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation

Production experience with scalability and best-practices of AI infrastructure

Must have experience with AI observability, monitoring, and signaling using tools like LangChain or LangGraph

Hands-on experience using RAG and chunking to tune LLM performance

Experienced with LLM orchestration tooling and decision frameworks

Experience or exposure building agentic capabilities and workflows

Experience or exposure to evaluation testing frameworks

Ability to effectively articulate technical challenges and solutions

Deal well with ambiguous/undefined problems; ability to think abstractly

Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time

Preferred

You have hands-on experience with AI and Large Language Models (LLMs). You've worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications

You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture

You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment

You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You're excited about revolutionizing estate planning with cutting-edge technology