Review Criteria :

- Strong Full-stack Engineering Profile with Scalable Product Experience

- Must have 4+ years of experience in building production-grade, scalable applications in B2C or B2B product companies.

- Must have 3+ years of hands-on backend development using Python (FastAPI/Django/Flask).

- Must have 1+ years of frontend experience using React (with Hooks and TypeScript).

- Must have experience with Relational Databases (like MySQL, PostgreSQL, Oracle etc)

- Must have good experience in Micro Services or Distributed System frameworks (eg, Kafka, Google pub / Sub, AWS SNS, Azure Service Bus) or Message brokers (eg, RabbitMQ)

- Hands-on experience with cloud services (EKS, Lambda, S3 IAM) along with Docker/Kubernetes containerization.

- B2B or B2C Product Companies

Preferred :

- Strong foundations in data structures, design patterns, clean code practices, code reviews, and mentoring team members.

- Experience with LangChain, LLM Agents, Vector DBs, or APIs like OpenAI/Anthropic/LLaMA.

Job Specific Criteria :

- CV Attachment is mandatory

- What was the scale of the product you last worked on in terms of TPS or MAU?

Role & Responsibilities :

Own, architect and deliver core modules of our multi-agentic AI SaaS platform - spanning user-facing React micro-front-ends, Python micro-services, Postgres persistence and AWS infrastructure, while mentoring the next wave of engineers in a hyper-growth environment.

Key Responsibilities :

- End-to-end ownership: translate product vision into secure, scalable features; drive design, coding, review, testing and deployment.

- Platform evolution: design fault-tolerant, multi-tenant architectures; weave in multi- agent LLM workflows, vector search and RAG pipelines.

- Dev-excellence: champion CI/CD, IaC (Terraform/CDK), automated testing, observability and cost-aware cloud operations.

- Technical leadership: mentor 2-4 engineers, set coding standards, lead architecture reviews and sprint planning.

- Cross-functional collaboration: pair with Product, DevRel and GTM to ship business-impacting releases every 2-3 weeks.

Ideal Candidate :

Must-Have Skills :

- 4 to 6 yrs building production SaaS; 3 yrs in Python back-ends (FastAPI/Django/Flask) and React (hooks, TS).

- Deep SQL & Postgres tuning; distributed systems know-how (caching, queues, event-driven design).

- Hands-on AWS (EKS/Lambda, S3, Aurora, IAM) and containerisation (Docker, Kubernetes).

- Proven track record of shipping at >1 M MAU or >10K TPS scale.

- Strong DSA, design patterns, code review and mentoring chops.

Nice-to-Haves :

- LangChain / Agents / Vector DBs, OpenAI/Anthropic/LLama APIs.

- Experience with feature-flag systems, multi-region deployments, SOC-2 / ISO-27001 compliance.