Full-Stack Engineer AI Systems, Agentic Architecture & Model Infrastructure

Immediate Joiner Preferred — Candidates who can join immediately or at very short notice will be given preference.

Role Overview

We are looking for a Senior Full-Stack Engineer with strong experience in AI/LLM systems, agentic architectures, web applications, mobile applications, backend development and production systems. The candidate will be responsible for designing, developing, integrating and maintaining AI-powered applications across web, Android and iOS platforms.

Core Responsibilities

- Build and maintain production-grade web and mobile applications.
- Develop backend services, APIs, databases, realtime services and third-party integrations.
- Design and integrate LLM, AI and agentic capabilities into production applications.
- Build reliable multi-agent workflows, model routing, tool execution and AI evaluation systems.
- Develop secure authentication, authorization, tenant isolation and role-based access controls.
- Work across frontend, mobile, backend and infrastructure to deliver complete product features.
- Write maintainable, tested and production-ready code.
- Participate in architecture, code reviews, testing, CI/CD, deployment and production support.

Web Application Development
- React / Next.js and TypeScript.
- HTML/CSS, responsive design, component architecture and state management.
- Production dashboards, workflows, forms and API-driven web applications.
- Authentication, authorization and secure API integration.

Mobile Application Development — Android & iOS
- React Native / Expo or Flutter, with practical Android and iOS development experience.
- Mobile UI/UX implementation and integration with REST/WebSocket APIs.
- Authentication, secure local storage, app lifecycle and reliable network handling.
- Push notifications, deep linking and file/camera/device integrations where required.
- Offline-first or bounded offline functionality, retry and synchronization where required.




- Android/iOS build, testing and release workflows, including Play Store/App Store deployment.

Backend & API Development
- Python and TypeScript/Node.js.
- Fastify/Express/Nest-style backend systems.
- REST/OpenAPI, WebSockets, webhooks and API integrations.
- OAuth/OIDC, service accounts, API keys, rate limiting, request IDs and API versioning.
- Async/concurrent systems and event-driven processing.
- PostgreSQL/Supabase, Redis, queues and background workers.

AI / LLM / Agentic Engineering
- OpenAI-compatible APIs, Gemini/Vertex AI, Claude or equivalent model providers.
- Streaming, structured output, tool/function calling, retries, rate limits and token/cost accounting.
- Multi-provider model routing, BYOK, local/self-hosted models and organisation-hosted models.
- Provider fallbacks, health checks, latency/quality trade-offs, spending controls and regional/data-residency requirements.
- Multi-agent orchestration, planner/executor patterns, context management, checkpoints, resumability, retries and human approval.
- MCP client/server design, OAuth2/PKCE, generic APIs/webhooks and connector abstractions.
- RAG, embeddings, pgvector, hybrid retrieval, memory and AI evaluation.
- OCR, classification, structured extraction, document quality and entity resolution where required.

Security & Reliability
- Multi-tenant isolation, RBAC/ABAC and least privilege.
- OAuth/OIDC and familiarity with SAML/SCIM concepts.
- Secure secret handling, KMS concepts and secure service communication.
- Retries, deduplication, idempotency, eventual consistency and durable workflows.
- Observability,



structured logging, metrics, tracing, health checks and production debugging.

Cloud & Production Engineering
- Git/GitHub workflows, pull requests, CI/CD and deployment pipelines.
- Docker and container isolation; familiarity with Kubernetes.
- Railway, Vercel, Cloudflare and AWS/GCP concepts.
- GitHub Actions, build pipelines, approval gates, artifact provenance and secret scanning.
- Environment management, health checks, rollback, preview environments and production support.

Project Responsibilities
- DCS AIE — memory, extraction, evaluations, confidence and AI application integration.
- DCS Agentic — agents, orchestration, model routing, BYOK, runtime integration and applications.
- DCS Grid / Engineering OS — DevAI, model/policy routing and application integration.
- DCS Intel — AI insights, anomaly intelligence and application features.
- Website Maker — Architect, agents, model routing, semantic QA and web/mobile experience.
- DCS Bonafide — OCR, extraction, entity intelligence and application workflows.
- DCS Sports — AI scouting/model capabilities and application integration.
- Pariksha Trust — controlled AI support and application features.
- COSRYX V2 — model/evidence-intelligence integration.

Candidate Profile
- Solid software engineering fundamentals and production ownership mindset.
- Experience building and shipping production web and mobile applications.
- Strong backend and API development experience.
- Hands-on experience with AI/LLM/agent systems in production.
- Comfortable working across frontend, mobile, backend, databases and cloud.
- Strong understanding of security, authentication, authorization and multi-tenant systems.
- Comfortable with Git, code review, testing, CI/CD and production debugging.
- Immediate joiners or candidates available at very short notice are preferred.

DCS AI Technologies LLC DCS AI Technologies India Private Limited

📌 Full Stack Engineer AI Systems, Agentic Architecture and Model Infra (Gurugram)
🏢 DCS Recruitment u0026 Training
📍 Gurugram