DevSavant

• 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

• Build and maintain backend services using Python and FastAPI within a microservices architecture • Design and implement scalable, reliable APIs and data processing systems • Contribute to both new platform development and legacy systems as needed • Write clean, well-tested, and maintainable code following best practices • Participate actively in code reviews and continuous improvement of engineering standards • Own integrations with third-party systems such as CRMs, DMS platforms, inventory systems, and communication tools • Build and maintain data ingestion and synchronization pipelines across multiple data sources • Support email, SMS, and chat delivery infrastructure • Ensure data consistency, reliability, and performance across services • Work within an AWS-based infrastructure (EKS/Kubernetes and related services) • Contribute to highly reliable and observable systems through logging, metrics, and alerting • Collaborate on CI/CD pipelines using GitLab • Utilize observability tools such as Datadog to monitor system health and performance • Collaborate closely with product managers, engineering leads, and cross-functional teams • Translate evolving and sometimes ambiguous requirements into working software solutions • Take ownership of features and systems, driving them from concept to production • Operate effectively in a distributed, remote-first environment across time zones.

• 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.

• Utilize Spec Driven Development (SDD) to ensure all features are well-architected, scalable, and documented before execution. • Design, build, ship, and maintain the Fulcrum mobile platforms, collaborating with the team to deliver high-quality product features and exceptional UI/UX. • Proactively identify opportunities to automate manual processes across the engineering lifecycle, using AI and custom tooling to increase velocity without compromising system integrity. • Constantly collaborate with team members across product, design, and engineering to ship quality features and maintain the Fulcrum mobile platforms. Actively provide feedback and opinions during problem definition and solutioning. • Drive long-term platform growth by designing modular, extensible architectures while maintaining high code quality through rigorous peer reviews, proactively addressing security vulnerabilities, and optimizing for performance. • Raise your own and the team’s technical capabilities every day by staying at the forefront of AI, machine learning, and mobile trends.

• Utilize Spec Driven Development (SDD) to ensure all features are well-architected, scalable, and documented before execution. • Design, build, ship, and maintain the Fulcrum platform, collaborating with the team to deliver high-quality product features and exceptional UI/UX. • Proactively identify opportunities to automate manual processes across the engineering lifecycle. • Constantly collaborate with team members across product, design, and engineering to ship quality features. • Drive long-term platform growth by designing modular, extensible architectures while maintaining high code quality. • Raise your own and the team’s technical capabilities every day by staying at the forefront of AI, machine learning, and full-stack trends.

• 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).

• 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.