Software Engineer III

to automate complex engineering workflows.

• Operate in a highly dynamic, swift-moving environment to build platforms and services that solve real-world architectural bottlenecks. You will bridge the gap between emerging AI trends and production-ready software.

• Act as a technical evangelist, ensuring that the solutions built by the architecture team are practical, high-performance, and easily integrated by various engineering squads within the CTO org.

• Architect and deploy robust, secure, and distributed solutions on public cloud (preferably AWS), ensuring high availability and alignment with modern cloud-native patterns.

• Constantly evaluate the tech stack to identify opportunities for optimization through LLMs, agentic workflows, or predictive analytics to keep the organization at the cutting edge.

• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

• Work closely with cross-functional teams including developers, engineers, product managers and business stakeholders, understanding functional, and non-functional requirements then contributing to overall design & development.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Hands-on experience in AI/ML Engineering or Software Architecture with a heavy focus on Machine Learning.

• Deep understanding of AI/ML frameworks, LLM orchestration, and Vector Databases.

• Expert-level proficiency in Python or Java. You must be able to write clean, maintainable, production-grade code.

• Extensive experience building and scaling applications on Public Cloud.

• Demonstrated prior experience delivering modern architecture.

• Ability to thrive in a very dynamic setting where priorities and technologies move swiftly. You must be comfortable with ambiguity and rapid pivots.

• A natural curiosity and drive to solve problems using non-traditional, AI-driven methods rather than just standard "legacy" fixes.

• Skilled in verbal, written and diagrammatic communication, working across a wide range of people with the ability to adapt approach and styles.

Preferred qualifications, capabilities, and skills

• Expert-level proficiency in Python (highly preferred for ML)
• Extensive experience building and scaling applications on Public Cloud, with a strong preference for AWS.