Full Stack Engineer AI Systems, Agentic Architecture and Model Infra

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

• Strong 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