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As a Technical Project Manager at Jeen, you will lead the delivery of enterprise-grade AI projects from planning through execution. Youll work closely with customers, engineering, and cross-functional teams to ensure smooth technical integrations, clear communication, and on-time delivery. This role combines strong project management skills with a solid technical background, enabling you to translate complex requirements into successful, scalable AI solutions in a fast-growing, innovative environment.

Lead complex implementations, own client relationships, and drive innovation in fast-paced environments where your technical expertise creates real business impact.

Responsibilities
Lead and manage full-cycle implementation projects, from planning to go-live
Own the client relationship from a technical perspective- requirements, customizations, installations, and version updates.
Oversee the installation of JEENs platform across dev, test, and production environments, including integration with client systems.
Collaborate with IT stakeholders and internal engineering teams.
Coordinate cross-functional project roles in a matrix environment.
Create detailed project plans, track progress, and ensure on-time delivery.
Manage and execute version updates and technical change processes with the client.

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

Work directly with Tier-1 customers, deploy our platform in their Kubernetes and OpenShift environments, and solve whatever stands in the way, from infrastructure and networking to identity integrations.

Key Responsibilities
Deploy the platform in customer Kubernetes and OpenShift environments, both on-prem (including air-gapped and GPU environments) and in the cloud.
Troubleshoot and resolve deployment and runtime issues, working across the application, container, and infrastructure layers.
Diagnose networking problems end to end: DNS, ingress and routes, load balancers, firewalls, proxies, TLS certificates, and network policies.
Integrate the platform with customer identity providers (Active Directory, Azure AD/Entra ID, Okta, Keycloak) over SAML, OIDC, and LDAP.
Own the full implementation lifecycle: installation, integration, customization, and post-deployment support.
Work directly with IT, security, and infrastructure teams at banks, defense organizations, and other regulated enterprises.
Feed field insights back to R&D and Product to improve our deployment process and documentation.

Were looking for a Senior Full-Stack Developer to build enterprise AI product, working across our technology stack to develop applications that power our AI platform.

Key Responsibilities
Develop high-performance web applications using React, Next.js, Node.js, and NestJS.
Integrate generative AI capabilities into user-facing applications.
Implement and optimize database schemas for traditional and vector databases.
Contribute to architectural decisions and technical planning.
Ensure code quality through testing and best practices.

Build enterprise AI products where every line of code matters. Work with cutting-edge technologies, shape product direction, and solve complex problems in a flat-structured startup environment with high ownership and growth potential.

Key Responsibilities
Develop high-performance web applications using React, Next.js, Node.js, and NestJS.
Integrate generative AI capabilities into user-facing applications.
Implement and optimize database schemas for traditional and vector databases.
Contribute to architectural decisions and technical planning.
Ensure code quality through testing and best practices.
Mentor and grow junior and mid-level engineers through code reviews, 1:1s, and knowledge sharing.
Collaborate with Product and Design teams to translate requirements into technical specifications.
Drive technical debt reduction and proactive refactoring initiatives.
Define and enforce coding standards, PR review processes, and documentation practices.

As a Platform DevOps Engineer on the Core Platform, you will improve, operate, and scale our platform infrastructure. You will help accelerate development and deployment workflows while establishing strong standards for reliability, observability, performance, and security across enterprise AI products.

Key Responsibilities
Design, build, operate, and continuously improve cloud-native platform infrastructure and Development, Test, and Production environments.
Build, automate, and optimize CI/CD and deployment workflows using GitHub Actions, GitOps, and Argo CD.
Manage, maintain, and optimize Kubernetes environments, containerized workloads, Docker, and Helm.
Develop and maintain Infrastructure as Code using Terraform.
Partner closely with R&D teams to improve reliability, observability, performance, and security across the platform.
Establish and maintain monitoring, measurement, and alerting capabilities, including Prometheus-based tooling.
Develop automation and scripting tools that improve operational efficiency and developer experience.
Promote responsible and effective use of AI-powered code assistance and development practices.
Identify infrastructure bottlenecks and risks, and drive solutions that improve platform stability, scalability, and efficiency.