About Voiceoc
Voiceoc is a Delhi based health tech startup which was started with a vision to help healthcare companies round the globe by leveraging Voice & Text AI. We started our operations in August 2020 and today, the leading healthcare companies of US, India, Middle East & Africa leverage Voiceoc as a channel to communicate with thousands of patients on a daily basis.
Website: https://www.voiceoc.com/
Responsibilities Include (but Not Limited To)
We’re looking for a hands-on Chief Technology Officer (CTO) to lead all technology initiatives for Voiceoc’s US business.
This role is ideal for someone who combines strong engineering leadership with deep AI product-building experience — someone who can code, lead, and innovate at the same time.
The CTO will manage the engineering team, guide AI development, interface with clients for technical requirements, and ensure scalable, reliable delivery of all Voiceoc platforms.
Technical Leadership
- Own end-to-end architecture, development, and deployment of Voiceoc’s AI-driven Voice & Text platforms.
- Work closely with the Founder to define the technology roadmap, ensuring alignment with business priorities and client needs.
- Oversee AI/ML feature development — including LLM integrations, automation workflows, and backend systems.
- Ensure system scalability, data security, uptime, and performance across all active deployments (US Projects).
- Collaborate with the AI/ML engineers to guide RAG pipelines, voicebot logic, and LLM prompt optimization.
Hands-On Contribution
- Actively contribute to the core codebase (preferably Python/FastAPI/Node).
- Lead by example in code reviews, architecture design, and debugging.
- Experiment with LLM frameworks (OpenAI, Gemini, Mistral, etc.) and explore their applications in healthcare automation.
Product & Delivery Management
- Translate client requirements into clear technical specifications and deliverables.
- Oversee product versioning, release management, QA, and DevOps pipelines.
- Collaborate with client success and operations teams to handle technical escalations, performance issues, and integration requests.
- Drive AI feature innovation — identify opportunities for automation, personalization, and predictive insights.
Team Management
- Manage and mentor an 8–10 member engineering team.
- Conduct weekly sprint reviews, define coding standards, and ensure timely, high-quality delivery.
- Hire and train new engineers to expand Voiceoc’s technical capability.
- Foster a culture of accountability, speed, and innovation.
Client-Facing & Operational Ownership
- Join client calls (US-based hospitals) to understand technical requirements or resolve issues directly.
- Collaborate with the founder on technical presentations and proof-of-concept discussions.
- Handle A–Z of tech operations for the US business — infrastructure, integrations, uptime, and client satisfaction.
Must-Have
Technical Requirements
- 5-7 years of experience in software engineering with at least 2+ years in a leadership capacity.
- Strong proficiency in Python (FastAPI, Flask, or Django).
- Experience integrating OpenAI / Gemini / Mistral / Whisper / LangChain.
- Solid experience with AI/ML model integration, LLMs, and RAG pipelines.
- Proven expertise in cloud deployment (AWS / GCP), Docker, and CI/CD.
- Strong understanding of backend architecture, API integrations, and system design.
- Experience building scalable, production-grade SaaS or conversational AI systems.
- Excellent communication and leadership skills — capable of interfacing with both engineers and clients.
Good To Have (Optional)
- Familiarity with telephony & voice tech stacks (Twilio, Exotel, Asterisk etc.).
What We Offer
- Opportunity to lead the entire technology vertical for a growing global healthtech startup.
- Direct collaboration with the Founder/CEO on strategy and innovation.
- Competitive compensation — salary + meaningful equity stake.
- Dynamic and fast-paced work culture with tangible impact on global healthcare.
Other Details
Work Mode: Hybrid - Noida (Office) + Home
Work Timing: US Hours
Skills: Machine Learning (ML), Large Language Models (LLM) tuning, SaaS, Team Management, Voice of the customer, Python, OpenAI, Gemini, Mistral, Twilio, Exotel and Asterisk
