Full Stack Architect / Lead Engineer / AI solution-building
Prowessoft Incmeerut, uttar pradesh, in1 day ago
Job descriptionFlutter 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.
- Build 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.
Required Technical Skills
Frontend
Backend
Cloud / DevOps
AI / ML Integration
Security / Auth
Soft Skills & Leadership
Preferred Tools
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