Senior Software Engineer – Matching

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People.ai

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

People. ai is a company that revolutionizes revenue strategies using artificial intelligence (AI). They offer a comprehensive solution, SalesAI, which integrates generative AI to automate tasks, assess account health, and provide coaching recommendations. Their platform enhances customer relationship management (CRM) through automated data capture and analysis, making sales processes more efficient. People. ai serves industries such as high tech, life sciences, and telecommunications, aiming to optimize go-to-market (GTM) strategies and improve revenue outcomes for sales, revenue operations, enablement, and marketing teams.

📋 Description

• Design and implement core backend services and data pipelines. • Perform data-driven research using big data and leveraging Data Science toolset • Document design choices and operational knowledge to successfully deploy and run services. • Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas. • Ensure robust alerting, dashboards, and runbooks for production services are in place. • Collaborate within the team and with other engineering teams to build new features and products according to business needs. • Follow software design and development best practices and promote such practices in the team.

🎯 Requirements

• 5+ years of professional experience working on backend systems in an enterprise environment • 3+ years experience with data analysis / data science tasks and/or ML • 2+ years experience programming in Python 2.x/3.x or Scala or Java • Experience with AI development tools (especially agentic AI) is a plus • Experience developing systems based on LLM is a plus • Understanding of SOA, microservices, and event-driven architecture • Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases • Strong knowledge of TDD, Unit, and automated test paradigms • Experience with SQL and RDBMS solutions • Experience with large-scale data processing (Spark)

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible work arrangements • Paid time off