Chief Technology Officer

Description :

- 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.

ROLE INCLUDES :

Technical Leadership :

- Own end-to-end architecture, development, and deployment of Voiceocs 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 Voiceocs technical capability.

- Foster a culture of accountability, speed, and innovation.