DevSavant

Senior AI Engineer

DevSavant

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

Senior

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Only candidates based in APAC will be considered for this position.
  • 7+ years of experience in AI/ML engineering.
  • 3+ years deploying AI solutions within healthcare or other regulated industries.
  • Proven experience designing and deploying LLM architectures, including fine-tuning and advanced prompt engineering.
  • Hands-on experience with voice automation systems (IVR, ASR, TTS).
  • Experience integrating AI systems with enterprise platforms such as EHRs, CRMs, and contact centers.
  • Strong Python expertise and experience with ML frameworks such as PyTorch, TensorFlow, and Hugging Face.
  • Experience deploying AI solutions in cloud-native environments (AWS, GCP, or Azure).
  • Strong understanding of secure system design and data privacy principles.
  • Nice to Have: Experience building AI agents capable of autonomous, multi-step workflows.
  • Deep knowledge of healthcare interoperability standards (FHIR, HL7).
  • Experience working with vector databases and semantic search architectures.
  • Familiarity with FDA software guidance (SaMD).
  • Background in conversational analytics and customer experience optimization.
  • Experience contributing to reusable AI frameworks that support low-code/no-code platforms.
  • Proven track record of delivering production-grade AI systems in high-compliance environments.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Agentic AI systemsLLM-powered conversational agentsRetrieval-Augmented Generation (RAG)NLP pipelinesASR (speech-to-text)TTS (text-to-speech)EHR/EMR interoperabilityHIPAA complianceAPI developmentlow-code deployment
Soft Skills
cross-functional collaborationmentoringtechnical leadershipbest practices definitionstructured experimentationanalytical skillscommunicationproblem-solvingcustomer focusteamwork