Full Stack Architect / Lead Engineer / Ai Solution-Building
Prowessoft IncVapi, Republic Of India, IN3 days ago
Job descriptionBuild APIs, microservices, and data pipelines with strong security and performance standards. Collaborate with product and design teams to deliver end-to-end solutions. Drive CI / CD, containerization, and deployment automation. Flutter 3+ (Mobile – iOS / Android) Next.Js 14+ / React 18+ (Web) TypeScript, TailwindCSS, REST API integration Backend Java 17+, Spring Boot 3+ (REST, JPA, Security, Validation) PostgreSQL / mysql / Redis API design, data modeling, microservices architecture WebSocket / Message Queue integration (Kafka / RabbitMQ optional) AWS (ECS / Fargate, RDS, S3, CloudFront, Lambda, Bedrock) Docker / Docker Compose, CI / CD pipelines (GitHub Actions / Jenkins) Kubernetes / Terraform (optional but preferred) Monitoring : Grafana, Prometheus, CloudWatch Experience integrating LLMs (OpenAI, Claude, Gemini, or Ollama) Familiar with prompt engineering, AI model orchestration, and vision APIs (AWS Rekognition / Google Vision). Build and deploy AI-powered features with secure APIs and scalable architecture. OAuth2 / OIDC / Keycloak / JWT authentication MFA / SSO / Passkeys / Role-based access control (RBAC) Strong architectural thinking and system design skills. Proven team-leading and mentorship experience (2–5 developers). Hands-on approach — 70% coding, 30% architecture / leadership. Excellent communication and documentation skills. Ability to deliver under startup-style timelines and ambiguity. IDEs : IntelliJ IDEA / VS Code / Android Studio AI Tools : GitHub Copilot, ChatGPT, Cursor, Tabnine Version Control : GitHub / GitLab Design & Collaboration : Figma, Notion, Slack, Jira
Role Overview
We are looking for a Full Stack Architect / Lead Engineer with strong hands-on coding and AI solution-building expertise.
You will design, build, and scale modern cloud-native applications — leading a small engineering team while contributing directly to architecture, backend, frontend, and AI integrations.
Key Responsibilities
- Lead architecture design, technology selection, and solution planning.
- Develop high-quality, scalable code across frontend, backend, and cloud infrastructure.
- Integrate AI / ML services and LLM models into real-world web and mobile applications.
- Mentor and guide developers;
review code and ensure best engineering practices.
Required Technical Skills
Frontend
Backend
Cloud / DevOps
AI / ML Integration
Security / Auth
Soft Skills & Leadership
Preferred Tools
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Lead Engineer Ai • Vapi, Republic Of India, IN
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