Founding AI Reverse Engineer

Company Overview

VoiceCare AI is a Healthcare Administration General Intelligence company specializing in Revenue Cycle Management (RCM) and back-office automation. The company aims to enhance access, adherence, and outcomes for patients and healthcare providers through generative AI technology. VoiceCare AI prioritizes security and compliance, being SOC 2 Type II attested and HIPAA compliant. The company is backed by $4.54 million in funding from notable investors including Mayo Clinic, Caduceus Capital, Bread & Butter Ventures, and others.

Job Summary

The Founding AI Reverse Engineer role offers a unique opportunity to operate at the intersection of AI, healthcare, interoperability, and systems engineering. The successful candidate will work autonomously across engineering, product, and customer-facing teams to analyze, deconstruct, and improve complex AI systems and healthcare data integrations. This position is ideal for a highly skilled professional eager to shape the future of AI-driven healthcare solutions through innovative problem-solving and system exploration.

Responsibilities

• Reverse-engineer AI systems to analyze model behavior, agent architectures, prompts, tool use, orchestration, and system-level workflows.
• Understand and enhance LLM-powered applications, multi-agent systems, and AI-native architectures.
• Deconstruct complex APIs, integrations, EHR workflows, and healthcare data exchanges.
• Work with healthcare interoperability standards such as FHIR, HL7, X12/EDI, SMART on FHIR, OAuth2, and other modern patterns.
• Build prototypes, tooling, scripts, and production systems to translate findings into scalable capabilities.
• Explore MCP, contextual API orchestration, semantic adapters, schema translation, and agent-to-system interactions.
• Solve complex integration challenges across EHRs, telephony, scheduling, claims, and patient engagement platforms.
• Collaborate directly with customers to understand real-world workflows and partner with Product and Engineering teams to develop internal tooling and product features.

Qualifications

• Strong software engineering fundamentals with excellent Python skills.
• Deep understanding of APIs, distributed systems, backend architecture, and AI/LLM systems.
• Experience analyzing unfamiliar codebases, APIs, protocols, or technical systems.
• Strong debugging skills and systems-thinking abilities.
• Ability to operate effectively in ambiguous environments with a focus on experimentation.
• Excellent communication and documentation skills.
• Bachelor's Degree in a relevant field.

Preferred Skills

• Healthcare interoperability experience (FHIR, HL7v2, CDA, CCD, X12/EDI) and familiarity with EHR systems such as Epic or Cerner.
• Experience with integration platforms like Mirth, Redox, Rhapsody, or InterSystems.
• Knowledge of MCP, agentic AI architectures, LLM evaluation, prompt engineering, or AI safety research.
• Experience with voice/telephony systems, Kubernetes, cloud infrastructure, and microservices.
• Building AI-powered data extraction, normalization, mapping, or semantic translation systems.

Experience

• Several years of experience in reverse engineering, systems analysis, or related fields.
• Proven track record working with healthcare data standards and interoperability solutions.
• Experience analyzing complex, unfamiliar technical systems and APIs.

Environment

• Hybrid work setting based in Bengaluru, Karnataka, India.
• The role involves working remotely and in-office, with a focus on autonomous problem-solving.
• The position may require working with complex technical systems and healthcare data, demanding attention to detail and adaptability.

Salary

Not specified.

GrowthOpportunities

Not specified.

Benefits

Not specified.