AI Agent Engineer

Company Description

Voicecare AI is a Healthcare Administration General Intelligence company specializing in Revenue Cycle Management (RCM) and back-office automation. Our mission is to improve access, adherence, and outcomes for patients and the healthcare workforce through generative AI technology. VoiceCare AI operates with security and compliance at its core, being SOC 2 Type II attested and HIPAA compliant. This position offers a unique opportunity to shape the future of AI-driven healthcare and make a meaningful impact on the healthcare workforce. The company has raised $4.54M from Mayo Clinic, Caduceus Capital, Bread & Butter ventures, and others.

Learn more at voicecare.ai.

Role Description

We are seeking an

AI Agent Engineer

who will play a critical role in designing, building, and optimizing the intelligent systems that power our safe, voice-enabled healthcare agents. This role sits at the intersection of LLMs, real-time voice technologies, advanced retrieval systems, and healthcare-focused product engineering. You will collaborate deeply with Engineering and product leaders to bring cutting-edge multimodal AI solutions into production. Your work will directly shape how healthcare professionals and patients safely interact with next-generation agentic AI across large-scale operational workflows.

AI Systems & Pipeline Engineering

Design, build, and optimize production-grade AI pipelines supporting real-time, voice-based, and text-based healthcare agents.

Implement retrieval-augmented generation (RAG), multi-step reasoning, and multi-agent architectures tailored for healthcare workflows.

Prototype and deploy zero-to-one features using state-of-the-art LLMs, vector databases, and streaming systems—balancing innovation with safety and reliability.

Conversational & Voice-Based AI Development

Develop AI-native workflows enabling long-running, context-aware, and clinically safe conversational interactions.

Work with speech recognition, text-to-speech, and latency-sensitive streaming pipelines to support fluid voice interactions.

Healthcare Workflow Integration

Collaborate with product managers, data engineers, and platform teams to translate complex healthcare and RCM workflows into robust AI-driven experiences.

Ensure all model behaviors align with healthcare protocols, compliance requirements, and real-world operational needs.

Evaluation & Continuous Improvement

Build and refine evaluation frameworks for accuracy, safety, latency, and user experience.

Conduct ongoing model and agent testing to ensure performance meets clinical-grade safety standards.

Develop observability, monitoring, and feedback systems to continuously improve agent reliability.

Required Skills & Experience

3+ years

of experience in software engineering, ML engineering, or AI systems development.

Proven experience building and shipping

AI / ML-powered products

in production environments.

Strong proficiency in

Python

, distributed systems, data pipelines, and API-driven architectures.

Deep understanding of

prompt engineering

vector databases

retrieval systems (RAG)

, and / or

voice agents

Experience with

cloud platforms

(AWS / GCP) and modern DevOps tooling (Terraform, CI / CD, observability, monitoring).

Excellent communication skills and comfort working cross-functionally in high-impact, safety-critical domains.

Experience architecting or deploying

LLM-based

or

multi-agent systems

at scale.

Hands-on experience with

speech recognition

TTS

, or real-time streaming architectures.

Prior experience in

healthcare

, regulated industries, or safety-critical product development.

Qualifications

Bachelor’s or Master’s degree in

Computer Science, AI, ML, NLP, or related fields

Strong portfolio demonstrating shipped AI-driven systems, pipelines, or agentic workflows.

Certifications in cloud, AI / ML, or related domains are a plus.

Candidates located in Bangalore

will be given preference.

Graduates from

top universities

are a plus.