Role: Backend-Focused Full Stack Technical Lead (AI-Ready Product Engineering)
Experience: 5–8 Years
Location: Hyderabad / Visakhapatnam
Employment Type: Full-Time
About Us
We are building scalable, AI-driven products focused on high-performance backend systems, distributed architectures, and intelligent automation workflows. Our engineering culture emphasizes ownership, fast execution, clean architecture, and solving real-world scalability problems.
We are looking for engineers who are genuinely strong in backend engineering — not just frontend-heavy “full stack” developers. The ideal candidate should be capable of independently designing, debugging, scaling, and owning production backend systems.
This role is ideal for engineers who want to grow toward:
· Backend Platform Engineering
· AI-Driven Product Engineering
· Forward Deployment Engineering (FDE)
· Distributed Systems & Infrastructure
· AI Workflow Orchestration
What We’re Looking For
We are specifically looking for engineers whose recent experience (last 2–3 years) has been heavily backend-oriented.
Strong candidates typically have hands-on experience in:
· Scalable backend systems
· Distributed architectures
· Event-driven systems
· Queue-based async processing
· Database optimization
· Production debugging
· Cloud-native deployments
· AI-integrated backend workflows
Core Responsibilities
Backend Engineering
· Design and build scalable backend services using Node.js and TypeScript
· Architect REST APIs, GraphQL services, and event-driven systems
· Build high-performance distributed systems capable of handling large-scale workloads
· Implement async processing pipelines using queues and messaging systems
· Optimize backend latency, throughput, and reliability
System Design & Scalability
· Design scalable microservices architectures
· Solve production bottlenecks involving APIs, databases, queues, and infrastructure
· Improve performance through caching, indexing, partitioning, and query optimization
· Build resilient systems with retries, idempotency, monitoring, and observability
AI & Intelligent Workflows
· Work on AI-driven workflows, orchestration systems, and automation pipelines
· Integrate LLM-powered systems into backend products
· Build scalable backend foundations for AI-enabled products
· Collaborate on future-ready AI engineering initiatives
Cloud & Infrastructure
· Deploy and maintain cloud-native applications
· Work with CI/CD pipelines and containerized deployments
· Contribute to infrastructure reliability, monitoring, and operational excellence
· Participate in production incident debugging and root-cause analysis
Required Technical Skills
Strong Backend Fundamentals
· Node.js
· TypeScript
· Express.js / NestJS / Fastify
· REST APIs
· GraphQL
Databases
Strong practical experience with:
· PostgreSQL
· MongoDB
· Redis
Should understand:
· indexing
· query optimization
· pagination
· caching strategies
· database scalability
Distributed Systems & Async Processing
Experience with at least one:
· RabbitMQ
· Kafka
· BullMQ
· SQS
Should understand:
· retries
· idempotency
· async workflows
· event-driven architecture
· queue failure handling
Cloud & DevOps
Experience with:
· AWS / GCP / Azure
· Docker
· CI/CD pipelines
Good understanding of:
· monitoring
· observability
· production deployments
· logging
· cloud-native systems
Preferred Skills
Candidates with exposure to any of the following will have strong advantage:
· Elasticsearch / OpenSearch
· Workflow orchestration systems
· Airflow / Temporal
· Kubernetes
· AI orchestration frameworks
· LangChain / LangGraph
· Vector databases
· RAG pipelines
· Real-time systems
· WebSockets
· Multi-tenant SaaS architecture
What We DO NOT Prefer
This role is NOT ideal for candidates whose recent experience is primarily:
· React/UI-heavy development
· Component-only frontend work
· Styling/UI optimization
· API integration-only frontend roles
We are looking for engineers who can independently:
· debug production backend issues
· design scalable systems
· optimize databases
· own backend architecture
· handle infrastructure-level problems
What Makes Someone Successful Here
Successful engineers in this role usually:
· Take strong ownership
· Think in systems, not just features
· Debug deeply instead of superficially
· Care about scalability and reliability
· Learn quickly and adapt to evolving AI ecosystems
· Can work across backend, infra, and product challenges
Interview Process
Round 1 — Technical Screening
· Backend fundamentals
· Node.js depth
· DB optimization
· Distributed systems
· Scenario-based problem solving
· Production debugging discussions
Round 2 — System Design & Coding
· Backend architecture
· Async workflows
· Scalability design
· Coding evaluation
· API/system implementation
Round 3 — Leadership & Product Thinking
· Ownership
· Decision making
· Communication
· AI adaptability
· Engineering maturity
Bonus Points If You:
· Have built scalable systems from scratch
· Have handled production incidents independently
· Have worked in high-scale SaaS products
· Have backend-heavy recent experience
· Are experimenting with AI engineering workflows
· Think beyond CRUD APIs
Why Join Us
· Work on next-generation AI-driven systems
· High ownership engineering culture
· Opportunity to grow toward platform/FDE engineering
· Solve real scalability and architecture challenges
· Fast-moving product environment with strong technical focus
Pay: ₹1,000,000.00 - ₹2,500,000.00 per year
Benefits:
- Food provided
- Health insurance
- Leave encashment
- Provident Fund
- Work from home
Ability to commute/relocate:
- Visakhapatnam, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- Are you a Front-end focused Full stack developer?
- Are you comfortable to attend Face to Face(In-person) interview?
Work Location: Hybrid remote in Visakhapatnam, Andhra Pradesh
