Full Stack Architect / Lead Engineer / AI solution-building

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

Flutter 3+ (Mobile – iOS / Android)

Next.js 14+ / React 18+ (Web)

TypeScript, TailwindCSS, REST API integration

Backend

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)

Cloud / DevOps

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

AI / ML Integration

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.

Security / Auth

OAuth2 / OIDC / Keycloak / JWT authentication

MFA / SSO / Passkeys / Role-based access control (RBAC)

Soft Skills & Leadership

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.

Preferred Tools

IDEs : IntelliJ IDEA / VS Code / Android Studio

AI Tools : GitHub Copilot, ChatGPT, Cursor, Tabnine Version Control : GitHub / GitLab

Design & Collaboration : Figma, Notion, Slack, Jira