Manager, Software Engineering - AI
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Key details
- Location
- India
- Work style
- Onsite
- Level
- Senior
- Experience
- 8–11 yrs
- Function
- Software engineering
- Focus area
- AI / ML
- Posted
- 1w ago
Skills
About the role
Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team.
Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning.
Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com.
We are looking for a Technical Owner to lead our Artificial Intelligence (AI) focused team. The ideal candidate has commercial experience with Large Language Modules (LLMs). Although this is a manager role, the expectation is that this individual will be spending at least 50% of their time directly contributing to the software.
AI is an important driver for the future of Litmos as we continue to work on our recently launched AI Assistant and begin to focus on applying AI in other areas of our system.
Key Responsibilities:
- Leadership: Manage a team of 3 - 6 individuals with mixed roles including software engineers and quality assurance
- Delivery: Ensure your team is creating performant, testable, and well-thought-out software for our production environment.
- Architecture: Guide the team as you use your experience and feedback to iterate through designing scalable solutions.
- Collaboration: Work closely with cross-functional teams, including product management, UX/UI design, and QA, to gather requirements, design solutions, and implement features.
- Code Quality: Write clean, maintainable, and efficient code. Conduct code reviews and mentor other engineers to uphold high coding standards.
- Testing: Implement and maintain robust testing strategies to ensure the reliability and performance of the content authoring tool. Utilize automated testing frameworks where appropriate.
- Continuous Improvement: Stay up to date with emerging technologies and industry trends. Propose and implement improvements to the development process, tools, and practices.
- Documentation: Create and maintain comprehensive documentation for the content authoring tool, including design specifications, API documentation, and user guides.
Required Skills and Qualifications:
- Education:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Experience:
- At least 8 years of professional experience in software development,Technical Skills:
- Full-stack development using C#and JavaScript frameworks such as React.
- In-depth understanding of AI technology, including LLMs
- Understanding of SQL and SQL Server. Postgres, CosmosDB are also preferable.
- Alternative datastores/technologies such as OpenSearch, Redis, and Memcached.
- Experience with RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure).
- Soft Skills:
- Demonstrated ability to manage software engineering teams.
- Excellent problem-solving skills and attention to detail.
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