DevSavant

Implementation Specialist

• Guide clients through the implementation process of the client PRM solutions
• Configure and customize PRM platforms according to client requirements
• Conduct discovery sessions to understand client needs and business processes
• Create and maintain project timelines and implementation schedules
• Provide technical guidance and best practices to clients
• Document client requirements and configuration specifications
• Collaborate with internal teams including support, development, and sales
• Deliver platform training to client teams
• Troubleshoot technical issues during implementation
• Ensure successful client onboarding and platform adoption

Customer Success Manager

• Serve as the primary administrator for PlanHat, managing user roles, permissions, and the overall health of the platform.
• Manage and monitor data syncs between PlanHat and other internal databases.
• Build and maintain complex "Playbooks" and workflows that trigger based on customer behavior.
• Design and manage automated email notifications and customer health alerts.
• Create custom views and executive-level dashboards that track Portfolio Health and CS Manager productivity.
• Take full ownership of Skilljar, ensuring the platform is optimized for internal employee enablement and external customer training.
• Lead the creation and organization of new LMS courses.

Customer Success Operations Specialist

SDET

• Pipeline Assurance: Shift from traditional E2E/Unit tests to a high-level assurance mindset. Use LLMs and AI-driven prompts to identify patterns, review PRs, and ensure quality without heavy human intervention.
• Intelligent Automation: Design and implement automated loops that provide immediate feedback to developers, ensuring that as productivity increases, quality remains uncompromised.
• Collaborative Strategy: Work as a partner to developers (your "internal customers"). Understand their pain points to improve the review and assurance process from an engineering perspective.
• Knowledge Transfer: Act as a technical beacon, communicating complex quality concepts and AI-driven testing strategies to the broader team to promote a culture of technical excellence.
• Mobile Focus: Maintain a mobile-first mindset to ensure system reliability and performance across the entire development lifecycle (iOS/Android).

Mobile Software Engineer – Test

AI Engineer

• Only candidates based in APAC will be considered for this position.
• Design and deploy healthcare-focused Agentic AI systems capable of autonomous, multi-step task execution (e.g., appointment scheduling, eligibility verification, intake automation, triage routing).
• Architect and optimize LLM-powered conversational agents across voice and digital channels.
• Develop Retrieval-Augmented Generation (RAG) architectures to power contextual, domain-specific healthcare knowledge systems.
• Engineer robust prompt frameworks, safety guardrails, and evaluation pipelines tailored to regulated healthcare environments.
• Continuously evaluate and improve agent performance, accuracy, and safety through structured experimentation and analytics.
• Architect advanced IVR modernization strategies and intelligent voice workflows.
• Optimize ASR (speech-to-text) and TTS (text-to-speech) systems to meet healthcare-grade accuracy and reliability standards.
• Integrate conversational AI into enterprise contact center platforms and CPaaS environments.
• Ensure seamless interoperability with EHR/EMR systems using healthcare standards such as FHIR and HL7.
• Design scalable, fault-tolerant architectures supporting high-availability healthcare operations.
• Develop NLP pipelines for clinical document summarization, coding support, PHI detection, and structured data extraction.
• Architect HIPAA-compliant AI systems with secure data handling, encryption, and role-based access controls.
• Implement monitoring, observability, and analytics frameworks to measure operational efficiency and patient experience outcomes.
• Maintain alignment with evolving healthcare AI regulatory and compliance requirements.
• Contribute reusable AI templates that power no-code and low-code deployment models.
• Build and maintain APIs and SDK integrations that allow enterprise customers to embed AI capabilities rapidly.
• Collaborate cross-functionally with product, solution engineering, and co-creation teams to accelerate customer time-to-value.
• Mentor junior engineers and define best practices for deploying Agentic AI in regulated industries.
• Provide internal technical leadership on scalable AI architecture and deployment standards.

Implementation Specialist

Customer Success Operations Specialist

Mobile Software Engineer – Test

Senior AI Engineer