Location
Remote / Hybrid
(Project-based or Full-time, based on fit)
Experience
3–7 years (flexible for exceptional candidates)
Role Overview
Full Stack Developer
systems thinker
Key Responsibilities1. 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
