Responsibilities
- Engage directly with clients, contributing 30% of time to customer-facing activities.
- Spend 70–80% of time on hands-on development, coding, and system integration tasks.
- Design, build, and launch AI agents, automation tools, and integrations that align with client technology environments and operational processes.
- Connect platforms to the core system using APIs, webhooks, and real-time data pipelines for smooth interoperability with both SaaS and on-premise software.
- Enhance AI model effectiveness through prompt optimization, semantic search tuning, and generative AI methods to improve accuracy and usability.
- Extract meaningful business insights by writing SQL queries, analyzing datasets, and creating visual dashboards for client decision support.
- Develop quick prototypes, deliver live technical demonstrations, and iterate based on real-time feedback from users and stakeholders.
- Coordinate across engineering, product, support, customer success, and sales teams to ensure technical solutions meet business and client needs.
- Onboard clients effectively by mastering new technologies and guiding them through complex setups such as code repository connections and custom configurations.
- Available to travel on-site up to 30% of the time for deployments, workshops, and direct customer collaboration.
Work Arrangement
Hybrid
Other
Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.