Jobs at Jeen.ai

Own day-to-day full-cycle bookkeeping through trial balance, process invoices, perform reconciliations, support monthly and quarterly closes, prepare recurring Excel reports, work with Priority ERP, collaborate with auditors and stakeholders, and improve internal controls in a fast-paced environment.

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.

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 and synchronize end-to-end customer implementations across Solutions, Product, R&D, and DevOps. Track progress, identify gaps and blockers, build Jira workflows/dashboards/automations, create scalable playbooks, coordinate resources and timelines, and ensure timely deployments and go-lives.

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.

Manage recruitment administration and candidate experience, conduct initial phone screenings, coordinate complex interview schedules, maintain ATS data, publish job postings, and support hiring managers throughout the hiring lifecycle.

Lead technical discovery, design, and delivery of secure, scalable AI solutions for enterprise customers across cloud and on-premise/air-gapped environments. Own pre-sales technical engagements (architecture, POCs, demos), advise on best practices (scalability, security, observability), collaborate with cross-functional teams, mentor staff, and support deployment and adoption.

Deploy and automate the companys AI platform at customer sites, design architectural solutions, build automated deployment and testing pipelines, manage performance, security and resilience, work across multi-cloud environments, and act as a technical lead for other team members.

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.

Develop full-stack web applications using React, Next.js, Node.js and NestJS, integrate AI features, design/optimize database schemas, build RESTful APIs/microservices, and maintain code quality via testing, CI/CD, and containerized deployments.

Lead product strategy and roadmap for enterprise GenAI features. Translate AI/ML concepts into requirements, design RAG and multi-agent workflows, prototype with LLM tooling, define evaluation and observability, collaborate with engineering and research, and align AI capabilities to business outcomes.

Lead hands-on development of enterprise AI products using React, Next.js, Node.js, and NestJS; integrate generative AI; design and optimize relational and vector databases; drive architecture, testing, CI/CD, containerized deployments, and ensure performance and security.

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.

Manual QA engineer responsible for testing web applications and services, performing REST API and end-to-end functional validations across cloud and on-premise environments, writing and executing test plans/cases, documenting bugs, and collaborating with developers and product teams to improve product quality.

Build and maintain high-performance web applications using React/Next.js and Node/NestJS, integrate generative AI, design/optimize relational and vector DB schemas, contribute to architecture, ensure code quality through testing and CI/CD.

Embed with customer teams to design and deliver AI/ML-driven solutions end-to-end: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling. Collaborate on roadmaps, iterate rapidly in production, inform product/SDK direction, support pre-sales, and ensure reliability, performance, security, and compliance. Travel to customer sites (20–40%).

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.