Location
Remote / Hybrid
(Project-based or Full-time, based on fit)
Experience
3–7 years (flexible for exceptional candidates)
Role Overview
We are seeking a Full Stack Developer who is highly proficient in Vibe Coding workflows and capable of end-to-end ownership of AI-driven product development. This role requires hands-on experience in building AI agents, crafting high-quality prompts, leveraging AI-assisted coding tools, and deploying scalable solutions on AWS.
The ideal candidate is not just a coder, but a systems thinker who can collaborate with AI tools as first-class development partners while maintaining strong software engineering discipline.
Key Responsibilities
1. End-to-End Application Development
Own the complete development lifecycle: architecture, development, testing, deployment, and maintenance
Build and maintain full stack applications (frontend, backend, databases, APIs)
Translate product requirements into scalable technical solutions
2. AI Agent & Prompt Engineering
Design, build, and optimize AI agents for business workflows and automation
Create, refine, and manage system prompts, task prompts, and agent orchestration logic
Implement RAG pipelines, tool-using agents, and multi-agent workflows where required
Continuously improve agent performance, reliability, and cost efficiency
3. Vibe Coding & AI-Assisted Development
Actively use Vibe Coding tools such as:
Emergent
Claude Code / Claude-based workflows
GitHub Copilot (advanced usage)
Guide AI tools with structured prompts, constraints, and architectural context
Review, refactor, and productionize AI-generated code
Maintain coding standards and security best practices despite AI-assisted development
4. Cloud & DevOps (AWS)
Deploy applications and AI services on AWS
Work with services such as:
EC2, ECS, Lambda
S3, RDS / DynamoDB
API Gateway
Manage CI/CD pipelines and environment configurations
Handle monitoring, logging, scalability, and cost optimization
5. Tooling, Upgrades & Maintenance
Manage upgrades and versioning of:
GitHub Copilot
AI models and SDKs
Dependencies and frameworks
Ensure backward compatibility and minimal downtime during upgrades
Document system architecture and operational workflows
Required Skills & Qualifications
Core Technical Skills
Strong experience in Full Stack Development
Frontend: React / Next.js / Vue (any modern framework)
Backend: Node.js / Python / similar
REST & GraphQL APIs
Solid understanding of software architecture and design patterns
Experience with databases (SQL and NoSQL)
AI & Agent Systems
Hands-on experience building AI agents
Strong prompt engineering skills
Familiarity with:
LLM APIs
Agent frameworks
Tool calling and function execution
Experience integrating AI into real-world production systems
Cloud & DevOps
Proven experience deploying and managing applications on AWS
CI/CD, environment management, and infrastructure best practices
Security, performance, and scalability awareness
Nice-to-Have Skills
Experience with internal tools, or enterprise SaaS
Knowledge of multi-tenant architectures
Familiarity with monitoring tools and observability stacks
Exposure to compliance, access control, and role-based systems
What We Look For
Strong ownership mindset – takes responsibility from idea to deployment
Comfortable working in AI-first development environments
Ability to think in systems, workflows, and automation
Clear communicator who can explain technical decisions
Bias toward execution and continuous improvement
What We Offer
Opportunity to work on cutting-edge AI agent systems
High autonomy and ownership
Exposure to real-world, production-scale AI applications
Flexible engagement models (project-based or full-time)
Competitive compensation aligned with skill and impact