Jobs at Jeen.ai

Build and maintain end-to-end web product features using React, TypeScript, HTML, CSS, and Python. Develop APIs, integrations, and database-backed functionality while collaborating with Product, AI, and Backend teams. Configure AI agents, workflows, and automations for customer implementations, connect agents to external systems, and support proofs of concept. Contribute to code reviews, scalability, performance, and engineering best practices.

Build enterprise AI applications across the full technology stack. Responsibilities include developing high-performance web applications with React, Next.js, Node.js, and NestJS; integrating generative AI; optimizing traditional and vector databases; contributing to architecture and technical planning; and maintaining code quality through testing and best practices.

Build and maintain end-to-end real-time voice AI systems: frontend in React+TypeScript, FastAPI Python backends, Python microservices (transcription, call analysis), integrate LLMs and STT/TTS, design telephony/SIP infrastructure, ensure scalable architecture, testing, and high code quality.

Lead end-to-end enterprise AI implementations, manage technical client relationships, oversee platform installations and integrations across environments, coordinate cross-functional teams, create and track project plans, and manage version updates and technical change processes.

Provide close administrative support to the CEO and VP: manage complex calendars, coordinate communication, track tasks and initiatives, handle travel, payments, and confidential documentation, and support operational initiatives while working full-time on-site.

Design modular systems and high-quality UX for a complex AI platform. Lead end-to-end design, maintain a scalable design system, collaborate with product and engineering, improve workflows, and create feature UI informed by user research and industry trends.

Lead technical discovery and solution design for enterprise AI initiatives. Build and deliver POCs for NLP, RAG, conversational AI, and integrations; own technical validation, RFP/RFI responses, and executive presentations. Develop light production code and integrations (Python plus Java/TypeScript), and manage Kubernetes/IaC/VPC deployments across AWS/Azure and on-prem environments. Frequent customer travel (20-40%).

Lead product lifecycle for AI-focused web applications: run customer discovery with enterprise and government users, define PRDs, prioritize features, coordinate with engineering and design, own metrics and acceptance testing, and iterate based on feedback and market research.

Design and refine prompts, build automations integrating LLMs, write Python/SQL code, perform QA on AI models, research AI advances, and collaborate with cross-functional teams to deliver AI-driven products.

Lead architectural vision and standards for scalable, secure GenAI and distributed systems. Architect LLM, RAG, embeddings, vector DBs, inference workloads, identity, observability, and deployment strategies while mentoring teams and driving POCs for emerging AI technologies.

Lead product strategy and roadmap for enterprise conversational AI products (voice/chat/agent assist). Own discovery-to-production lifecycle, define KPIs, translate customer needs into technical specs, work with engineering on prompts, RAG, agent orchestration, analyze product usage with analytics tools, and collaborate cross-functionally to prioritize features and improve UX.