Website:
dimension-1.com
Job details:
Senior Full-Stack Engineer: AI Products & Cloud Engineering
Location: Vizag / Hyderabad
Experience: 5-8 years
Notice Period: Max 30 days
CTC: As per your current salary (negotiable)
About Company
Build agents that do the work, so people don’t have to. Our AI-powered products include agentic business software, reusable agent infrastructure, and developer tools. They combine conversational interfaces on WhatsApp and Telegram with operational UIs, persistent data, integrations, and cloud services.
About the Role
You’ll build intelligent products end to end, from user experience to production operations. You’ll turn ambiguous ideas into reliable systems used by real people, across multi-tenant business apps, conversational experiences, and AI agent systems.
What You’ll Own
- Product delivery: Turn ambiguous requirements into user journeys, technical designs, and maintainable features. Own implementation, testing, release, and follow-through.
- UI development: Build responsive, accessible React/TypeScript interfaces and reusable components, with clear loading, error, empty, and recovery states.
- Backend and data: Design secure APIs, schemas, migrations, and integrations. Build tenant-aware authorization, background jobs, and reliable webhook handling.
- AI agents: Build tool-using agents with structured outputs, context and memory, evaluations, traces, and human approval where needed. Handle retries, model failures, latency, and cost.
- Quality and cloud delivery: Automate meaningful tests and CI/CD checks. Deploy containerized services on GCP with release approvals, health checks, monitoring, and rollback plans.
- Engineering leadership: Review code, document decisions and runbooks, mentor teammates, and resolve production issues through root-cause analysis.
What You Bring
- 5-8 years of software engineering experience, with ownership of production apps across frontend, backend, testing, and deployment
- Frontend: Strong JavaScript/TypeScript, React, HTML, CSS; UI/UX judgment, accessibility, state management, API integration
- Backend: Strong Python and FastAPI (or comparable); REST, validation, authN/authZ, pagination, error handling
- Data: PostgreSQL, SQL, schema design, indexes, transactions, migrations; idempotency, retries, concurrency, and async jobs
- GCP: Cloud Run, Cloud SQL, Cloud Storage, Artifact Registry, Secret Manager, IAM, logs
- CI/CD: Git, Docker, GitHub Actions or Cloud Build, migration checks, controlled promotion of versioned artifacts
- Testing: pytest, Vitest, React Testing Library, Playwright; reproducible tests for permissions, critical journeys, and failures
- AI agents: LLM APIs, tool/function calling, structured response validation, context management, agent evaluation, and effective use of coding agents with proper review
- Clear communication, pragmatic system design, security awareness, and the ability to explain trade-offs
Good to Have
Node.js/Fastify or Next.js, agent orchestration and MCP, embeddings/RAG/pgvector, Firestore/Firebase, Redis and job queues, WebSockets/streaming, WhatsApp/Telegram bots, infrastructure as code, ERP/commerce/multi-tenant SaaS, design systems and developer tooling.
You don’t need experience with every item listed. We value depth in the core stack and the ability to learn.
What Success Looks Like
- Ship a complete product workflow with a usable UI, secure API, reliable data behavior, and automated regression coverage
- Make agent behavior measurable through evals and traces, and improve failure recovery, response quality, or cost
- Improve release confidence through repeatable checks, observable deployments, and clear documentation
Click on Apply to know more.
