Argentina onlyAt People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace “different”. We applaud non-traditional career paths. We're inspired by people who have made processes their own.
As a Senior Software Engineer on the PeopleGraph team, you will lead the development and optimization of our people data intelligence platform that gathers, cleanses, and analyzes information from diverse sources. You'll architect scalable solutions for our real-time API services and Databricks processing jobs while advancing our LLM-powered intelligence layer. You'll work autonomously to transform complex data challenges into elegant solutions, collaborate closely with Product teams to shape technical direction, and elevate our engineering excellence while delivering actionable people insights at scale.
Responsibilities:
- Design, develop, and maintain highly scalable microservices that power our real-time API for people data delivery.
- Architect and implement LLM-based intelligence features for data analysis, classification, and information extraction.
- Collaborate closely with Product teams to translate business requirements into technical solutions.
- Work autonomously to identify technical gaps and opportunities for improvement in our architecture.
- Implement monitoring, alerting, and observability systems to ensure reliability of critical services.
- Mentor mid-level engineers and promote engineering excellence through code reviews and best practices.
- Drive technical decision-making with a focus on maintainability, scalability, and performance.
- Continuously refine our data cleaning and ranking algorithms to improve data quality.
Requirements:
- Excellent problem-solving skills with focus on elegant and practical solutions.
- 5+ years of professional software engineering experience with demonstrated ability to write clean, maintainable code.
- Strong proficiency in at least one programming language (Python preferred).
- Experience with real-time data processing systems using technologies like Kafka.
- Experience with big data processing using Spark or similar technologies in environments like Databricks.
- Experience using Large Language Models (LLMs), familiarity with prompting techniques (chain-of-thought, RAG), and knowledge of common market models.
- Ability to work independently, set technical direction, and collaborate closely with Product teams.
- Strong communications skills and ability to thrive in a remote-first environment.
- Bachelor’s Degree in Computer Science, Computer Engineering, or closely related discipline.
Nice to Have:
- Experience with fine-tuning or advanced inference techniques for LLMs.
- Background in data analysis and ability to derive insights from large datasets.
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