Stop applying to jobs. Start your life's work!! At Quantum Gandiva AI, we're not just another startup. We are a deep-research AI lab based in Visakhapatnam, and we're building the Autonomy Stack for self-improving AI. We believe in practical, reproducible research, and we're looking for a foundational team member to build with us. This isn't your typical "entry-level" role. We're looking for a passionate AI Architect to architect our data pipelines from scratch to production. Years of corporate experience don't matter to us. Your GitHub, your personal projects, and your passion for building fast, reliable, and secure systems are what we care about. We're building the next generation of AI agents and looking for an experienced backend engineer whohas hands-on experience developing production-grade AI agent systems. About the Role: You'll architect and scale our agentic platform, owning core systems includingmemory management, orchestration, and evaluation frameworks. This is a unique opportunity to shapehow AI agents are built using modern context engineering principles. What We're Looking For: 2+ years of Python experience in production environments Demonstrated experience building and deploying AI agents Hands-on expertise with frameworks like LangGraph, Autogen , or similar Experience in Containerization using Docker or similar Strong experience in the use of vector databases (pgvector) and memory architectures Experience with streaming APIs and token optimization Passion for building reliable, scalable AI systems What You'll Work On: Multi-tenant memory systems with sophisticated recall Production-grade agent orchestration Context-aware APIs and evaluation frameworks Cutting-edge RAG implementations Our Tech Stack: Python, FastAPI, ML, LangGraph, pgvector, OpenAI/Claude APIs, and modern agenticdevelopment tools Why Join Us? Work on challenging problems in AI agent development Collaborate with a talented team passionate about context engineering Hybrid work arrangement (3 days on-site in Visakhapatnam) Shape the future of how AI agents are built Interested in learning more? Please share your portfolio of AI agents you've built along with your application to
Stop applying to jobs. Start your life's work!! At Quantum Gandiva AI, we're not just another startup. We are a deep-research AI lab based in Visakhapatnam, and we're building the Autonomy Stack for self-improving AI. We believe in practical, reproducible research, and we're looking for a foundational team member to build with us. We're building the next generation of AI agents and looking for an experienced Full Stack Engineer whohas hands-on experience of shipping web applications. Check the job description below: Position Title: iOS Developer(Full-Time) Division: Quick Product Division (Mobile) Location: Visakhapatnam, Andhra Pradesh (locals only) Company Overview: We are a dynamic startup developing an innovative AI-driven Anonymous Stack and building Self-Improved AI Systems. We warmly invite passionate individuals to join our collaborative team and contribute to meaningful projects in a supportive, growth-oriented environment. Role Overview: We are seeking a hands-on iOS Engineering Intern to rapidly prototype and iterate mobile features that interface with AI-enabled workflows—from scratch to a production-ready prototype. You will build SwiftUI screens, integrate APIs, handle streamed outputs, add secure auth and basic offline behavior, and instrument telemetry. This role emphasizes speed, reliability, and security while collaborating closely with engineering peers. Key Responsibilities: Build responsive SwiftUI interfaces with clean state management (ObservableObject, reducers) and modern concurrency (async/await). Integrate backend REST/JSON (and simple SSE/WebSocket simulators for streaming outputs), with robust error handling and retries. Implement basic auth (JWT/OAuth—mock or real) and secure session storage using Keychain. Add push notifications (local/remote setup), deep links, and sensible background behaviors (BGTaskScheduler). Design offline-friendly flows (lightweight caching, optimistic updates, idempotent retries) and clear empty/error states. Instrument observability on-device (OSLog/crash reporting/basic metrics) and create simple in-app diagnostics. Follow security & privacy practices: ATS, input validation, permission prompts, and safe handling of user data. Write tests (XCTest unit tests, basic XCUITest UI flows) and participate in code reviews and CI checks. Document components, API usage, and runbooks; demo weekly progress with measured improvements (latency/crash rate). Required Skills and Qualifications: Proficiency in Swift and SwiftUI (UIKit familiarity a plus), Xcode tooling, and Git/GitHub workflows. Working knowledge of iOS networking (URLSession), JSON parsing (Codable), pagination, retries, and simple caching. Familiarity with agentic/LLM app patterns at the client level (streamed responses, function/tool result rendering). Understanding of auth basics, secure storage (Keychain), and platform privacy/permission models. Ability to build fast, reliable, and secure features with clear logs and basic performance tracking (p50/p95). Comfort with AI coding tools like Claude for code generation and Cursor AI editor for rapid development. Add-on skill: Basic context engineering to shape request/response payloads for efficient mobile-network usage. Experience Requirements: Years of professional experience are not mandatory; however, candidates must show a portfolio of iOS projects (apps, repos, or coursework) that demonstrate end-to-end feature ownership, attention to UX quality, and thoughtful handling of networking, state, and errors.