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 :

- 4-6 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.