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.
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.
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: Full-Stack Engineer Location: Visakhapatnam, Andhra Pradesh (local preferred) Start Date: September 2025 (flexible for the right candidate) 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 Full-Stack Engineer to build the core web experience and backend APIs that power agentic AI workflows—from scratch to a production-ready prototype. You will own end-to-end delivery across React/TypeScript (frontend) and Python/FastAPI (backend), with strong attention to reliability, security, performance, and clear telemetry. Key Responsibilities: Build user-facing web interfaces in React + TypeScript (state management, forms/validation, responsive UI) with clean, reusable components. Design and implement FastAPI services and REST endpoints (OpenAPI schemas, JSON contracts, pagination, error handling). Model data in PostgreSQL ; implement caching with Redis ; write efficient SQL; maintain migrations and seed scripts. Integrate with agent workflows (message threads, approvals/HITL, activity/audit views) via well-typed API contracts. Add observability (OpenTelemetry traces/metrics/logs), structured logging, and feature flags for safe rollouts. Implement auth (JWT/OAuth), RBAC/permissions, input validation, rate limiting, and basic security hardening (CORS/CSRF/XSS/SSR mitigations). Write tests (unit/integration/E2E via pytest/Playwright) and participate in CI/CD to keep releases fast, reliable, and secure. Partner with Applied AI, Data Engineering, and DevOps to ship end-to-end features and iterate from evaluation feedback. Document API contracts, architecture decisions, and runbooks to enable rapid onboarding and consistent delivery. Required Skills and Qualifications: Proficiency in React + TypeScript and modern tooling (Vite/Next.js), forms/validation (e.g., Zod), and component composition. Strong Python skills with FastAPI , async I/O, Pydantic models, and testing (pytest). Solid understanding of SQL/PostgreSQL , Redis caching, and data modeling for reliability and performance. Experience designing REST APIs (OpenAPI), handling auth/permissions, and integrating third-party services. Practical knowledge of observability (metrics/traces/logs) and performance tuning (p95/p99 latency, bundling, memoization). Ability to build fast, reliable, and secure implementations with clear error reporting and rollback strategies. Proficiency with AI coding tools like Claude for code generation and Cursor AI editor for rapid development. Well-versed in latest models and modules (e.g., for embeddings and integrations) and how to consume them safely via APIs. Add-on skill: Basic context engineering to structure frontend/backend payloads for efficient agent context windows. Experience Requirements: Years of professional experience are not mandatory; however, candidates must demonstrate a portfolio of shipped web applications and/or AI-enabled apps showing end-to-end ownership (frontend + backend), quality practices, and thoughtful API design.
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
You are a dynamic startup developing an innovative AI-driven Anonymous Stack and building Self-Improved AI Systems. You warmly invite passionate individuals to join your collaborative team and contribute to meaningful projects in a supportive, growth-oriented environment. As a hands-on Full-Stack Engineer at Quantum Gandiva AI, your role involves building the core web experience and backend APIs that power agentic AI workflows from scratch to a production-ready prototype. You will own end-to-end delivery across React/TypeScript (frontend) and Python/FastAPI (backend), with strong attention to reliability, security, performance, and clear telemetry. Key Responsibilities: - Build user-facing web interfaces in React + TypeScript with clean, reusable components for state management, forms/validation, and responsive UI. - Design and implement FastAPI services and REST endpoints, including OpenAPI schemas, JSON contracts, pagination, and error handling. - Model data in PostgreSQL, implement caching with Redis, write efficient SQL, and maintain migrations and seed scripts. - Integrate with agent workflows via well-typed API contracts for message threads, approvals/HITL, and activity/audit views. - Add observability with OpenTelemetry traces/metrics/logs, structured logging, and feature flags for safe rollouts. - Implement auth (JWT/OAuth), RBAC/permissions, input validation, rate limiting, and basic security hardening. - Write tests (unit/integration/E2E via pytest/Playwright) and participate in CI/CD for fast, reliable, and secure releases. - Partner with Applied AI, Data Engineering, and DevOps to ship end-to-end features and iterate from evaluation feedback. - Document API contracts, architecture decisions, and runbooks for rapid onboarding and consistent delivery. Required Skills and Qualifications: - Proficiency in React + TypeScript, modern tooling, forms/validation, and component composition. - Strong Python skills with FastAPI, async I/O, Pydantic models, and testing. - Solid understanding of SQL/PostgreSQL, Redis caching, and data modeling for reliability and performance. - Experience designing REST APIs, handling auth/permissions, and integrating third-party services. - Practical knowledge of observability and performance tuning. - Ability to build fast, reliable, and secure implementations with clear error reporting and rollback strategies. - Proficiency with AI coding tools and latest models/modules for safe consumption via APIs. Experience Requirements: Years of professional experience are not mandatory; however, candidates must demonstrate a portfolio of shipped web applications and/or AI-enabled apps showing end-to-end ownership, quality practices, and thoughtful API design.,
Role Overview: At Quantum Gandiva AI, we are looking for a passionate AI Architect to architect data pipelines from scratch to production for our Autonomy Stack project. As a foundational team member, you will play a crucial role in building fast, reliable, and secure systems for self-improving AI agents. This is not your typical "entry-level" role, and we value your GitHub contributions, personal projects, and dedication to the field. Key Responsibilities: - Architect and scale the agentic platform, including memory management, orchestration, and evaluation frameworks - Develop multi-tenant memory systems with sophisticated recall and production-grade agent orchestration - Implement context-aware APIs and evaluation frameworks, as well as cutting-edge RAG implementations - Collaborate with the team to build reliable, scalable AI systems using modern context engineering principles Qualifications Required: - 2+ years of Python experience in production environments - Demonstrated experience in building and deploying AI agents - Hands-on expertise with frameworks like LangGraph, Autogen, or similar - Proficiency in Containerization using Docker or similar technology - Strong background in vector databases (e.g., pgvector) and memory architectures - Experience with streaming APIs and token optimization - Passion for developing scalable AI solutions Additional Company Details: At Quantum Gandiva AI, we are a deep-research AI lab based in Visakhapatnam, focused on practical, reproducible research. We are dedicated to shaping how AI agents are built using modern context engineering principles. Our tech stack includes Python, FastAPI, ML, LangGraph, pgvector, OpenAI/Claude APIs, and modern agentic development tools. If you are interested in working on challenging problems in AI agent development, collaborating with a talented team, and shaping the future of AI agents, apply now and share your portfolio of AI agents you've built. Join us in building the next generation of AI agents at Quantum Gandiva AI!,
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 workflowsfrom 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/OAuthmock 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.
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: Full-Stack Engineer Location: Visakhapatnam, Andhra Pradesh (local preferred) Start Date: September 2025 (flexible for the right candidate) 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 Full-Stack Engineer to build the core web experience and backend APIs that power agentic AI workflowsfrom scratch to a production-ready prototype. You will own end-to-end delivery across React/TypeScript (frontend) and Python/FastAPI (backend), with strong attention to reliability, security, performance, and clear telemetry. Key Responsibilities: Build user-facing web interfaces in React + TypeScript (state management, forms/validation, responsive UI) with clean, reusable components. Design and implement FastAPI services and REST endpoints (OpenAPI schemas, JSON contracts, pagination, error handling). Model data in PostgreSQL ; implement caching with Redis ; write efficient SQL; maintain migrations and seed scripts. Integrate with agent workflows (message threads, approvals/HITL, activity/audit views) via well-typed API contracts. Add observability (OpenTelemetry traces/metrics/logs), structured logging, and feature flags for safe rollouts. Implement auth (JWT/OAuth), RBAC/permissions, input validation, rate limiting, and basic security hardening (CORS/CSRF/XSS/SSR mitigations). Write tests (unit/integration/E2E via pytest/Playwright) and participate in CI/CD to keep releases fast, reliable, and secure. Partner with Applied AI, Data Engineering, and DevOps to ship end-to-end features and iterate from evaluation feedback. Document API contracts, architecture decisions, and runbooks to enable rapid onboarding and consistent delivery. Required Skills and Qualifications: Proficiency in React + TypeScript and modern tooling (Vite/Next.js), forms/validation (e.g., Zod), and component composition. Strong Python skills with FastAPI , async I/O, Pydantic models, and testing (pytest). Solid understanding of SQL/PostgreSQL , Redis caching, and data modeling for reliability and performance. Experience designing REST APIs (OpenAPI), handling auth/permissions, and integrating third-party services. Practical knowledge of observability (metrics/traces/logs) and performance tuning (p95/p99 latency, bundling, memoization). Ability to build fast, reliable, and secure implementations with clear error reporting and rollback strategies. Proficiency with AI coding tools like Claude for code generation and Cursor AI editor for rapid development. Well-versed in latest models and modules (e.g., for embeddings and integrations) and how to consume them safely via APIs. Add-on skill: Basic context engineering to structure frontend/backend payloads for efficient agent context windows. Experience Requirements: Years of professional experience are not mandatory; however, candidates must demonstrate a portfolio of shipped web applications and/or AI-enabled apps showing end-to-end ownership (frontend + backend), quality practices, and thoughtful API design.
Company: Quantum Gandiva AI Location: Visakhapatnam, AP, India Job Type: Internship About Quantum Gandiva AI: Quantum Gandiva AI is a pioneering technology company based in Visakhapatnam, specializing in AI and Quantum solutions. We are a passionate team dedicated to building the future, and we believe in fostering the next generation of talent. Position Overview: We are looking for a creative and motivated Social Media & AI Content Creation Intern to join our team. This is a fantastic learning opportunity for someone passionate about the intersection of social media, video editing, and emerging AI technologies. You will work closely with our team to help manage our social media presence and contribute to creating engaging content that showcases our brand and vision. What You Will Do (Key Responsibilities): Contribute to our social media content calendar across platforms like LinkedIn, Twitter, and YouTube. Assist in creating and editing engaging content, including graphics, short-form videos, and posts. Get hands-on experience with emerging AI content generation tools (like HeyGen, RunwayML, etc.) under the guidance of our team. Help manage and monitor our social media channels, engaging with our online community. Support the analysis of social media performance to understand what resonates with our audience. Collaborate with our marketing and technical teams to ensure content is accurate and compelling. What We're Looking For (Qualifications): A strong passion for digital marketing, social media, and video content. Familiarity with major social media platforms. Basic experience with video editing software (e.g., CapCut, Adobe Premiere Pro, DaVinci Resolve) is a strong plus. A keen interest in and desire to learn about AI content creation tools (e.g., HeyGen, Midjourney). A portfolio showing personal or academic projects is highly encouraged. Excellent communication and writing skills. Currently pursuing or recently completed a degree in Marketing, Communications, Digital Media, or a related field. What We Offer: This is a paid internship. A valuable opportunity to gain practical experience in a cutting-edge AI company. Mentorship and training on advanced AI content tools. A collaborative and innovative work environment where your contributions are valued.