Responsibilities
- Lead end-to-end technical delivery from design collaboration to live deployment and post-launch stability
- Customize and integrate the agentic AI platform to fulfill specific client needs
- Ensure all solutions adhere to the core architectural principles and technical capabilities of the platform
- Develop high-quality, sustainable code for integrations, custom agents, and workflow enhancements
- Design and maintain APIs using REST and gRPC protocols for seamless enterprise SaaS connectivity
- Utilize back-end technologies like Python and Go, and contribute to front-end development with React, Angular, HTML, CSS, and JavaScript when required
- Work with databases including PostgreSQL, Clickhouse, Elastic, and Redis to design scalable data models
- Gain in-depth knowledge of customer business operations, systems, and limitations
- Convert real-world business processes into practical AI-driven workflows, challenging scope when necessary
- Identify potential failure points in AI systems related to integration, data integrity, scalability, and edge cases
- Serve as the main technical liaison for customer business and IT teams during implementation phases
- Support customer and internal teams during critical periods such as launches, incidents, and requirement changes
- Communicate project status, risks, and key decisions effectively to both technical and executive stakeholders
- Deploy and secure systems in multi-tenant SaaS environments ready for production use
- Implement security standards and enterprise integration methods including authentication, role-based access control, auditing, and compliance
- Measure success through user adoption and measurable business outcomes, not just feature delivery
- Ensure system reliability and performance after go-live under operational pressure
- Collaborate with Engineering, Product, Data, Infrastructure, and Value Engineering teams across the organization
- Provide feedback from customer engagements to influence product and platform evolution
- Help establish and follow team-wide best practices, delivery standards, and reusable implementation patterns
Compensation
Compensation is based on factors including location, experience level, and relevant skills. Some positions may include variable pay, equity, or benefits.
Work Arrangement
Remote (Worldwide)
Team
Headquartered in Silicon Valley with offices in London, Bangalore, and Vancouver
Other
- Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
Not specified
