Jobs at Jeen.ai

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.

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 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 and mentor multiple engineering teams to deliver a cloud-native, microservices-based Enterprise AI platform. Own technical direction, architecture, delivery, and SDLC improvements while partnering with Product, DevOps, and AI teams. Recruit, grow, and retain engineering leaders, drive platform modernization, and ensure scalability, reliability, and operational excellence.

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.

Develop and refine prompts for AI systems, validate and QA AI-generated outputs, perform functional checks at customer sites, research AI advances, and collaborate with cross-functional teams to ensure accurate delivery.

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.

Lead technical pre-sales for enterprise AI: engage C-suite, design secure multi-cloud AI architectures, run workshops, build POCs, present demos, influence commercial strategy, and ensure smooth handover to delivery.

Lead enterprise customer engagements to discover business needs, design practical AI/LLM solutions, run workshops, drive delivery and growth, and align Product/R&D with customer outcomes.