Were looking for a hands-on fullstack who is a backend expert who can build cutting edge AI platforms to the next level: pixel-perfect UIs, production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. What youll build • Core Backend Enhancements – Build APIs – Harden security (OAuth2/JWT, rate-limiting, SecretManager) and observability (structured logging, tracing) – Add CI/CD, test automation, health-checks and SLO dashboards • Awesome UI Interfaces - React.js/Next.js, Redact/Context, Tailwind / MUI / Custom-CSS / Shadcn / Axios • LLM & Agentic Services – Design micro/mini-services that host and route to OpenAI, Anthropic, local HF models, embeddings & RAG pipelines – Implement autonomous/recursive agents that orchestrate multi-step chains (Tools, Memory, Planning) • Model-Inference Infrastructure – Spin up GPU / CPU inference servers behind an API gateway – Optimize throughput with batching, streaming, quantization & caching (Redis / pgvector) • NLP & Data Services – Own the NLP stack: Transformers for classification, extraction, embedding generation – Build data pipelines that join aggregated business metrics with model telemetry for analytics • Mentor Juniors Tech you’ll touch Fullstack/Backend | Infra • Python(or NodeJs), FastAPI, Starlette, Pydantic • Async SQLAlchemy, Postgres, Alembic, pgvector • Docker, Kubernetes or ECS/Fargate - AWS (Or) GCP • Redis / RabbitMQ / Celery (jobs & caching) • Prometheus, Grafana, OpenTelemetry • If you are a fullstack then - react.js / next.js / shadcn / tailwind.css / MUI AI / NLP • HuggingFace Transformers, LangChain / Llama-Index, Torch / TensorRT • OpenAI, Anthropic, Azure OpenAI, Cohere APIs • Vector search (Pinecone, Qdrant, PGVector) Tooling • Pytest, GitHub Actions Terraform / CDK preferred Must-have experience • 1+ to 3+ yrs building production Python(or Nodejs) REST APIs (FastAPI, Flask or Django-REST) • SQL schema design & query optimization in Postgres (CTEs, JSONB) • Deep knowledge of async patterns & concurrency (asyncio, AnyIO, celery) • Crafted awesome UI Applications that integrates with backend API • Hands-on with LLM/embedding workflows, prompt-engineering, and at least one of “agent-ops” frameworks (LangGraph, CrewAI, AutoGen) • Cloud container orchestration (Any of K8s, ECS, GKE, AKS, etc.) • CI/CD pipelines and infra-as-code Nice-to-have • Streaming protocols (Server-Sent Events, WebSockets, gRPC) • NGINX Ingress / AWS API Gateway • RBAC / multi-tenant SaaS security hardening • Data privacy, PII redaction, secure key vault integrations • Bitemporal or event-sourced data models Why does this role matter ? We are growing. We have projects & products that have different challenges This role will expand into learning & contribution parallelly to succeed together You will close these gaps while leading all future AI service development. If you are an engineer who’s looking for the next leap in challenges to set your career in rocket trajectory - this is an apt role You will work in the Founder’s office, replicate the founder & grow organically Hiring process ShortCall Assignment Live coding/System Design 1.5 hour Team fit: 30 minutes Offer