
1001 - 5000 employees
Founded 2014
đ„ Healthcare
đŒ Consulting
đŠ Logistics
đ° $150M Series E on 2021-12
Healthcare âą Consulting âą Logistics
Innovaccer is a healthcare technology company dedicated to transforming how healthcare information is utilized and accessed. They provide a comprehensive Health Cloud that aims to accelerate digital transformation for providers, payers, and life sciences companies by offering unified healthcare data and analytics. Innovaccer leverages artificial intelligence to automate tasks, process medical data, and generate insights to improve clinical and financial outcomes. Their solutions focus on integrating and optimizing healthcare systems, promoting value-based care, improving patient engagement, and reducing the administrative burden on healthcare providers. Innovaccer's platform supports various healthcare stakeholders through advanced data activation, analytics, and streamlined workflows, striving to improve healthcare delivery and patient care globally.
đ„ 0 minutes ago
đșđž United States â Remote
â° Full Time
đŽ Lead
đ§âđ» Full-stack Engineer
đŠ H1B Visa Sponsor
đ» Ghost score 10%
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1001 - 5000 employees
Founded 2014
đ„ Healthcare
đŒ Consulting
đŠ Logistics
đ° $150M Series E on 2021-12
Healthcare âą Consulting âą Logistics
Innovaccer is a healthcare technology company dedicated to transforming how healthcare information is utilized and accessed. They provide a comprehensive Health Cloud that aims to accelerate digital transformation for providers, payers, and life sciences companies by offering unified healthcare data and analytics. Innovaccer leverages artificial intelligence to automate tasks, process medical data, and generate insights to improve clinical and financial outcomes. Their solutions focus on integrating and optimizing healthcare systems, promoting value-based care, improving patient engagement, and reducing the administrative burden on healthcare providers. Innovaccer's platform supports various healthcare stakeholders through advanced data activation, analytics, and streamlined workflows, striving to improve healthcare delivery and patient care globally.
âą Own the architecture for AI voice agent platforms, next-best-action AI assistant guidance, or standalone AI agents across voice, chat, and SMS âą Design real-time, low-latency systems for in-call intent detection and next-best-action suggestions âą Design orchestration layers exposing AI agent workflows as reusable, callable actions with output contracts and versioning âą Define patient/customer identification, context retrieval, escalation contracts, safe failure, human handoff, and audit trails âą Drive AI agent evaluation and reliability frameworks and set SLOs for agent-facing services âą Lead high- and low-level technical design reviews across backend services âą Drive architectural consistency across ticketing, case management, scheduling, transcription, and speech-processing services âą Design and build asynchronous Python backend services using FastAPI and Django âą Model data across MongoDB and PostgreSQL âą Build Kafka-based event streams for cross-service and agent-to-core communication âą Work hands-on with LLM/AI agent tooling such as LangChain, pydantic-ai, and MLflow âą Set testing, observability, and production triage standards âą Mentor senior and mid-level engineers on distributed systems and AI-agent design âą Partner with product to scope and sequence ambiguous initiatives into phased technical plans âą Apply healthcare security and compliance practices to PHI handling, audit logging, authentication, and agent context retrieval
âą 8+ years of backend engineering experience âą Demonstrated technical ownership of a complex, multi-service system âą Strong proficiency in Python, including async programming (asyncio) âą Production experience with FastAPI or Django âą Experience designing distributed, multi-service architectures âą Experience with event-driven systems such as Kafka âą Experience with service-to-service authentication, webhook-based integrations, and idempotency/retry design âą Experience with MongoDB or another NoSQL database âą Working knowledge of relational databases such as PostgreSQL âą Direct production experience building or operating conversational AI / voice agent systems, including telephony, IVR, or conversational voice platforms âą Experience with latency-sensitive real-time pipelines involving speech-to-text, speaker separation, and text-to-speech âą Experience designing real-time decisions from streaming context with confidence thresholds and human-in-the-loop escalation âą Experience with LLM/agent frameworks âą Working understanding of agent evaluation and reliability practices âą Track record of driving architecture decisions across teams and writing and reviewing technical design documents âą Experience mentoring other engineers âą Comfortable with Docker/containerized deployments, CI/CD, and observability tooling âą Proficient with Git and collaborative workflows âą Experience with healthcare data security and compliance practices, including PHI handling, audit logging, OAuth/JWT authentication, and minimum-necessary data scoping
âą 20 days of fixed time off per year, in addition to company holidays âą Generous parental leave âą Monetary incentives and company-wide recognition âą Medical, dental, and vision insurance âą 100% company-paid short- and long-term disability insurance âą 100% company-paid basic life insurance âą Optional discounted legal aid âą Optional pet insurance
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