Senior Software Engineer

Summary

Join People.ai as a Senior Software Engineer and lead the development and optimization of our people data intelligence platform. You will design, develop, and maintain highly scalable microservices for our real-time API, architect and implement LLM-based intelligence features, and collaborate with Product teams. This role requires independent problem-solving, setting technical direction, and working effectively in a remote-first environment. You will also mentor mid-level engineers and drive technical decision-making. People.ai offers a unique dataset and patented AI technology, serving clients like Verizon and Red Hat. We are a diverse, outspoken team focused on driving change and growth.

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

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

Preferred Qualifications

• Experience with fine-tuning or advanced inference techniques for LLMs
• Background in data analysis and ability to derive insights from large datasets