Full Stack Developer IS

Company DescriptionContextual Staffing connects innovative companies with exceptional tech talent, focusing on regions with workplace vulnerabilities, particularly for talented women. By building teams with a purpose, Contextual Staffing creates life-changing careers and supplies businesses with highly motivated, dedicated, and loyal professionals. The company's simple, all-inclusive subscription model facilitates international payroll, HR, and compliance, allowing businesses to scale with top-tier remote talent. Their areas of expertise include web development, UI/UX design, and mobile app development.Role DescriptionJoin us to create next-generation AI solutions driven by Generative AI technologies, serving a range of regulated industries. Our engineering stack spans a + React + Tailwind frontend and a Python backend (FastAPI/Django/Flask) with RAG pipelines, vector databases and multi-agent workflows. You will own the architecture, scalability, and reliability of the platform - taking it from demo to production without breaking.We're looking for a senior engineer with solid softwareengineering fundamentals and at least one year of hands-on experience delivering generativeAI applications in production.Key ResponsibilitiesArchitecture & Scaling: Decompose monoliths into microservices with clean APIs, deployed via Docker and Kubernetes with auto-scaling and resilience.Frontend Engineering: Build secure, high-performance chat UIs App Router, React 19, Tailwind, Radix UI), including robust SSE streaming lifecycle management.Backend Engineering: Design scalable FastAPI services for authentication, RBAC, file ingestion, chat streaming, and orchestration.Generative AI & LLM Development: Architect and optimise RAG systems using vector DBs (Qdrant / Pinecone / Weaviate); design and deploy conversational AI experiences.Real-Time & Voice Readiness: Implement WebRTC-based real-time communication pipelines to enable future voice-AI applications.Async & Reliability: Implement task/message queues (Celery, RabbitMQ, Kafka, Redis Streams) for long-running workflows, retries, and event sourcing.Data & Memory Layers: Work with Postgres, MongoDB, Redis and vector DBs for retrieval.Security & Compliance: Enforce secure auth flows (OAuth2, JWT, 2FA), RBAC/ABAC, CSP/security headers, and PII masking.Observability & CI/CD: Own GitHub Actions pipelines, automated tests, structured logging, metrics, traces, and safe rollout strategies (blue-green, canary).Collaboration: Partner with product, AI, and infra teams to deliver reliable, production-grade AI systems.Must Have8+ years of professional software engineering experience with production system ownershipStrong frontend skills: 13+/15, React, Tailwind, RadixMobile experience: production-grade mobile apps (React Native/Flutter, API integration, deployment) Strong backend skills: Python (FastAPI / Django / Flask) with async I/OProven experience with Docker and scalable microservices on KubernetesKnowledge of WebRTC or similar real-time communication technologiesDeep understanding of async processing, queues, retries, and idempotencyData expertise: Postgres, MongoDB, Redis • Security-first mindset: OAuth2, JWT, RBAC/ABAC, 2FACI/CD discipline: GitHub Actions (or equivalent), automated testing, code-quality gatesObservability skills: logging, metrics, traces, debugging in productionGenerative AI Experience (>= 1 year)Building and deploying generative-AI applications in productionPractical experience with RAG pipelines and vector database operationsLLM integration, prompt engineering, and model-optimisation techniquesAI-safety measures, evaluation frameworks, and responsible-AI practicesFamiliarity with conversational-AI / chatbot architecturesNice to HaveAI-agent orchestration frameworks (LangGraph, AutoGen, Semantic Kernel)LLM fine-tuning (LoRA / QLoRA) and advanced prompt optimisation • Background in regulated industries (finance, healthcare, legal)Cloud operations (AWS / GCP / Azure) and Infrastructure as Code (Terraform)Experience with MLOps pipelines and model-deployment strategies