As a Senior Fullstack Engineer, you will play a key role in building and
optimizing integrations that power scalable, high-performance data pipelines
and intelligent systems. You’ll collaborate closely with a cross-functional
team, to create seamless, efficient data flows that integrate with intelligent
agents that perform key FP&A tasks.
Your expertise in data integration, API design, and working with LLMs will be
vital in ensuring smooth interaction between systems, enabling advanced
functionality that powers our product. You will bring a mix of data
engineering experience and an understanding of LLMs to create systems that are
both performant and adaptable to evolving business needs.
### **Key Responsibilities**
* Design, develop, and maintain robust data pipelines and integrations that connect various data sources and systems to ensure reliable and seamless data flow.
* Build and optimize integrations with large language models (LLMs) and other machine learning and data science tools to enhance product capabilities.
* Work with cross-functional teams, including data scientists, machine learning engineers, and product managers, to define technical requirements and implement end-to-end solutions.
* Leverage tools such as Python, FastAPI, and databases (PostgreSQL, Redis) to build high-quality data integration systems that enable real-time processing and data accuracy.
* Ensure smooth integration of third-party APIs, including LLMs (e.g., OpenAI), and other external data sources to extend the product’s functionality.
* Develop, test, and maintain clean, maintainable, and efficient code, ensuring optimal performance in data pipelines and integrations.
* Implement best practices for data governance, security, and scalability across the integration layer.
* Mentor junior engineers, share knowledge of LLMs, and promote best practices in data integration across the engineering team.
* Stay updated on emerging trends in data engineering, machine learning, and LLM technologies to ensure continuous product improvement.
### **Qualifications**
**Experience:**
* 4+ years of professional software development experience, with a strong focus on data integrations and system architecture.
* Proven experience with designing and implementing data pipelines, API integrations, and working with complex data systems.
* Expertise in Python and backend technologies (e.g., FastAPI, Flask) to build efficient data systems and APIs.
* Experience working with machine learning models, especially large language models (LLMs), and integrating them into production systems.
* Familiarity with databases such as PostgreSQL and Redis, and proficiency in SQL for data manipulation.
* Strong experience in version control with Git and containerization with Docker.
* Experience with integrating third-party APIs and services, including LLM APIs (e.g., OpenAI, GPT models).
* Familiarity with cloud platforms and services for data processing and storage (e.g., AWS, GCP).
* Must have experience at an early-stage, venture-backed startup.
* A background in fintech, finance or a related field is a plus.
**Skills:**
* Strong problem-solving skills with the ability to design scalable and efficient systems for data integrations and LLMs.
* Excellent communication skills, both written and verbal, with the ability to collaborate across diverse teams.
* A proactive mindset with a passion for innovation and exploring new technologies in data engineering and machine learning.
* Willingness to stay current with the latest advancements in data technologies, LLMs, and machine learning.
**What We Offer**
* Competitive salary and **generous** equity.
* A collaborative and innovative work environment.
* Opportunities for professional growth and development.