Software Engineer, Gen AI

Israel
About The Position

As the founding member of our Generative AI team, you will design, develop, and deploy AI-powered solutions that integrate with our existing B2B SaaS products. This role combines hands-on development with strategic leadership to build production-ready AI capabilities that deliver business value.

Key Responsibilities

Design and implement generative AI solutions that integrate with our existing B2B SaaS applications
Develop end-to-end AI systems from research and experimentation to production deployment
Create APIs and integration points between AI capabilities and our product ecosystem
Establish best practices, coding standards, and testing methodologies for AI development
Evaluate and select appropriate AI technologies and frameworks for business needs
Collaborate with product, UX/UI, and data teams to deliver cohesive AI features
Optimize AI system performance and resource utilization in production environments
Implement monitoring and maintenance protocols for deployed AI solutions

What We Offer:

Opportunity to shape the direction of AI integration across our product portfolio
Significant autonomy and influence as the founding member of our AI team
Direct collaboration with senior leadership to align AI initiatives with business strategy
Growth potential as we expand our AI capabilities and team
Requirements
5+ years of software development experience across multiple technology stacks
Strong Python programming skills
Proficiency in TypeScript for frontend integration of AI features
Proven experience developing and deploying generative AI applications in production environments
Hands-on experience with large language models (LLMs), fine-tuning, and prompt engineering
Knowledge of microservice architecture and cloud-based deployment
Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
Strong understanding of RESTful APIs and modern web development practices
Solid software engineering fundamentals including version control, testing, and code review

Preferred Qualifications:

Experience in B2B SaaS environments
Knowledge of ML operations (MLOps) practices and tools
Familiarity with vector databases and semantic search technologies
Experience with Retrieval Augmented Generation (RAG) and other advanced AI techniques
Technical leadership experience
Degree in Computer Science, AI, or related field

About Optibus:

Optibus is a unified software platform revolutionizing public transportation planning, scheduling, and operations in over 8,000 cities worldwide. Using AI, ML, and optimization algorithms, it empowers agencies to design more efficient, equitable, and sustainable transit networks, enhancing passenger access, reducing emissions, and improving driver conditions. With offices globally and a team of 350+ employees, Optibus fosters a collaborative culture centered on innovation, determination, and impact. As the first unicorn in public transportation technology, Optibus is driving the modernization of mass transit to make it the preferred choice for cities and passengers alike.

Why Join Optibus?

Be part of a company revolutionizing public transportation with cutting-edge technology.
Collaborate with global teams passionate about sustainability and innovation.
Enjoy a dynamic and inclusive workplace culture that values growth and creativity.
We offer a hybrid work environment, with employees expected to be in the office 3 days a week. The remaining days can be worked remotely to support work-life balance and flexibility.

Optibus is proud to be an equal opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, cultural background, religious beliefs, or any other characteristic protected by federal, state, or local laws. It is our responsibility at Optibus to provide an inclusive and accessible interview experience for all. We will provide reasonable accommodations for all candidates in need of individualised support during the hiring process.