[Hiring] Senior Software Engineer @People.ai

Role Description

As a Senior Software Engineer on the Matching team, you will work on People.ai foundational technology — matching business activities to business context. You will handle a vast amount of business data, perform data-driven research, design and develop algorithms and microservice architecture, write machine learning and automation code, and build scalable systems that power the AI-engine behind People.ai's products.

We value ownership highly — the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges.

• 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.

Qualifications

• 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.
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline.

Requirements

• 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).
• Experience with Elasticsearch is a plus.
• Experience with containerized applications, Docker, and Kubernetes.
• Possess a DevOps mindset, AWS experience is a plus.

Company Description

Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley’s top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America’s Best Startup Employers.

For more information, please visit www.people.ai .