Senior Software Engineer, PeopleGraph

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.