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2 Sema4.ai Jobs
Principal Software Engineer
Sema4.ai
posted 4d ago
Job Role Insights
Key skills for the job
Job Description
You are a strong team player who can operate effectively in a distributed product organization. Thriving in a fast-paced, results-driven environment, you take initiative, make decisions, and assume ownership of your work. As a generalist, you are comfortable working with multiple technologies and tool stacks, and you are enthusiastic about deploying generative AI to solve real-world use cases. Additionally, you are a passionate, motivated engineer who drives the product forward by leveraging the best from open source and industry innovations.
Responsibilities
- Architect Design : Own the end-to-end technical architecture for our AI Agent platform, focusing on scalability, reliability, and performance in distributed environments.
- Lead Mentor : Provide technical leadership and mentorship to engineering teams, fostering a culture of continuous learning, collaboration, and innovation.
- Innovate in AI Agent Stack : Drive the evolution of our AI Agent platform, leveraging frameworks and open-source technologies.
- Deliver Customer Value : Translate customer needs into production-ready solutions, ensuring optimal quality, security, and performance at every stage of the software development lifecycle.
- Set Standards : Influence engineering best practices, from code review to release processes, ensuring a stable and efficient deployment ecosystem (eg, npm, homebrew, Chocolatey, CI/CD systems, PyPI, Conda).
- Participate in code reviews, testing, and debugging to ensure the reliability and efficiency of our products.
Qualifications
- Strong Communication Skills : Excellent ability to convey complex ideas to technical and non-technical audiences alike.
- Extensive Distributed Systems Expertise : Proven ability to design, implement, and manage complex, high-availability systems at scale.
- Mastery of Python (and Beyond) : Deep experience in Python, with a solid background in at least one other prominent language (eg, Go, Java, Rust).
- Cloud Containerization : Expert-level proficiency with AWS, Azure, or GCP. Deep familiarity with Docker and Kubernetes (or equivalents).
- Security-Focused Mindset : Track record of integrating security best practices in architecture, code, and deployment, with solid knowledge of enterprise compliance and governance.
- Leadership Collaboration : Demonstrated ability to lead projects, influence stakeholders, and mentor senior engineers in distributed environments.
- Problem-Solving Adaptability : Adept at navigating ambiguous requirements, focusing on outcomes, and rapidly iterating to deliver high-quality solutions in a demanding, results-driven setting.
Bonus Points
- AI Agent Expertise : Hands-on experience in developing or deploying AI agents, including frameworks such as LangChain.
- Front-End Experience : Familiarity with React and TypeScript to contribute to end-to-end solutions.
- Developer Experience : Track record of creating robust developer tools, documentation, or frameworks that enable rapid adoption and ease of use.
Practicalities
- Fully Remote position - youll have team members from around the world.
- Screening call from the hiring manager, followed by code exam and a team interview.
Employment Type: Full Time, Permanent
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