Join GeekyAnts

As a Senior Software Engineer - II, you will be responsible for architecting, developing, and maintaining complex React Native applications. You will work closely with cross-functional teams to deliver high-quality mobile solutions that serve millions of users across iOS and Android platforms.

Key Responsibilities

Development & Architecture

• Design and develop scalable React Native applications with clean, maintainable code
• Architect mobile solutions that work seamlessly across iOS and Android platforms
• Implement complex UI components and animations using React Native's ecosystem
• Build reusable components and libraries for team-wide adoption
• Optimize application performance, memory usage, and battery efficiency

Technical Leadership

• Mentor junior developers and conduct code reviews
• Establish and maintain coding standards and best practices
• Collaborate with product managers, designers, and backend engineers
• Drive technical decisions and contribute to architectural discussions
• Lead technical initiatives and feature development

Platform Integration

• Integrate native iOS and Android services and APIs
• Manage app store submissions and certification processes
• Work with platform-specific features and capabilities
• Ensure compliance with App Store and Google Play guidelines

Required Technical Skills

Core Technologies

• React Native: 4+ years of production experience
• JavaScript/TypeScript: Expert-level proficiency with ES6+ features
• React: Deep understanding of React ecosystem, hooks, and component lifecycle
• Mobile Development: Strong foundation in iOS and Android development principles

Build & Deployment

• Expo: Extensive experience with Expo CLI, EAS (Expo Application Services)
• EAS Build: Proficiency in configuring and managing cloud builds
• EAS Submit: Experience with automated app store submissions
• App Store Connect: iOS app certification, TestFlight distribution, and release management
• Google Play Console: Android app publishing and release management

State Management

• Zustand: Experience with lightweight state management
• Redux/Redux Toolkit: Proficiency in complex state management patterns
• MobX: Understanding of reactive state management
• Context API: React's built-in state management solutions
• Async state management: Handling API calls, caching, and data synchronization

UI Development & Animations

• React Native Reanimated: Advanced animations and gesture handling
• Tamagui: Experience with universal design systems
• Gluestack UI: Component library implementation
• Lottie: Complex animation integration
• Custom animations: Performance-optimized animations and transitions
• Responsive design: Adaptive layouts across different screen sizes

Platform Services

• iOS Services: Push notifications, In-App Purchases
• Android Services: Firebase integration
• Native modules: Creating and maintaining platform-specific code
• Deep linking: Universal links and custom URL schemes

Preferred Qualifications

Technical Expertise

• Experience with over-the-air updates
• Knowledge of React Native's New Architecture (Fabric/TurboModules)
• Familiarity with React Native performance profiling tools
• Experience with automated testing (Jest, Detox)
• Understanding of React Native debugging tools (Flipper, React DevTools)

Development Tools

• Version Control: Git, GitHub/GitLab workflows
• CI/CD: GitHub Actions, Bitrise, or similar platforms
• Monitoring: Sentry, Bugsnag, or Crashlytics integration
• Analytics: Firebase Analytics, Amplitude, or similar tools
• Performance: Profiling tools and optimization techniques

Additional Skills

• Experience with monorepo management (Nx, Lerna, or Yarn workspaces)
• Knowledge of React Native Web for code sharing
• Familiarity with GraphQL and REST API integration
• Understanding of mobile security best practices
• Experience with accessibility standards and implementation

Experience Requirements

• 4+ years of React Native development in production environments
• 2+ years in a senior developer role
• Proven track record of shipping mobile apps to App Store and Google Play
• Experience with applications serving 30-40K+ users

Education & Certifications

• Bachelor's degree in Computer Science, Software Engineering, or related field

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication and collaboration skills
• Ability to work in fast-paced, agile development environments
• Self-motivated with strong attention to detail
• Passion for mobile technologies and user experience

We are seeking a highly skilled Tech Lead - I with 5+ years of professional experience to join our team. You will play a critical role in building, scaling, and maintaining backend services for our enterprise-grade applications.

The ideal candidate is hands-on with NodeJS / NestJS, cloud platforms (AWS, Azure, or GCP), and relational databases like MySQL, PostgreSQL, etc., with a passion for solving complex technical challenges in secure and scalable systems.

You will collaborate closely with cross-functional teams, including UI, DevOps, QA, client teams, and compliance experts, to deliver a robust and secure platform for our enterprise clients.

Key Responsibilities

• Design, develop, and maintain scalable backend services using NodeJS (NestJS).
• Work with MySQL/Prisma ORM for efficient database design and query optimization.
• Implement and manage cloud infrastructure on AWS (or Azure/GCP), ensuring reliability and cost efficiency.
• Integrate secure encryption/decryption mechanisms (AES256, AWS KMS) across services, files, payloads, and databases.
• Collaborate with DevOps teams to optimize deployments using Kubernetes, Docker, and CI/CD pipelines.
• Participate in API development, documentation, and client integrations (Swagger, JSDoc).
• Ensure compliance with PCI DSS and other security standards through secure coding practices and audits.
• Work closely with multiple stakeholders, including client-side engineering, DevOps, QA, compliance, and security teams.
• Support knowledge transfer (KT) and contribute to comprehensive technical documentation.
• Mentor junior engineers and contribute to best practices across the engineering team.

Technical Leadership

• 5+ years of experience in backend development with NodeJS (TypeScript preferred).
• Strong experience with cloud platforms (AWS required; Azure/GCP good to have).
• Solid understanding of MySQL and ORM frameworks (Prisma preferred).
• Hands-on experience with RESTful APIs, Swagger, and API lifecycle management.
• Experience with Docker, Kubernetes, and cloud-native deployments
• Strong debugging, optimization, and problem-solving skills.
• Excellent communication and stakeholder management skills.

**Good-to-Have (Training/Exposure will be Provided)**

• Experience with NextJS / Expo or frontend-backend integration.
• Exposure to AWS Cloud or using a multi-tenant-based cloud.
• Familiarity with confidential computing frameworks (e.g., Anjuna).
• Exposure to compliance-driven projects with financial institutions.
• Knowledge of encryption/decryption strategies and secure key management.

We are seeking a Python-Focused AI/ML Engineer with strong backend engineering expertise to build and integrate intelligent systems into production applications. This role combines backend development, data pipelines, and applied AI integration — working with APIs, SDKs, and orchestration layers that connect cloud AI services and self-hosted models.

Key Responsibilities

Backend & API Development
• Develop and maintain high-performance FastAPI/Flask microservices for AI-driven products
• Integrate AI/ML models into backend APIs for chatbots, RAG systems, and recommendation engines
• Implement secure RESTful and event-driven APIs with versioning, error handling, and monitoring
• Manage authentication, rate limiting, and audit logging for AI endpoints

AI Integration & Tools
• Integrate cloud AI APIs (OpenAI, Anthropic, Gemini, Groq, etc.) and self-hosted models (Ollama, vLLM)
• Develop SDK wrappers for text, image, video, and voice-based intelligence modules
• Use LangChain, LlamaIndex, and embeddings for retrieval-augmented generation (RAG) workflows
• Implement pipelines for document parsing, summarization, and contextual reasoning

Data & Database Engineering
• Build data ingestion and transformation pipelines using Pandas, NumPy, or Airflow/Prefect
• Integrate and query vector databases (Pinecone, Weaviate, pgvector, Milvus) for embeddings
• Design schemas and optimize queries for PostgreSQL and NoSQL systems supporting AI workloads
• Handle structured/unstructured data (PDFs, audio, text) efficiently for downstream AI tasks

AI Services & Architecture
• Architect scalable, modular components for multimodal AI (text, speech, image)
• Build SDK-based AI services for unified orchestration across multiple providers
• Optimize backend-to-model communication for low latency and high throughput
• Collaborate with frontend and DevOps teams for full-stack integration

MLOps & Model Handling (Optional)
• Basic familiarity with model deployment using Docker, MLflow, or TorchServe
• Support fine-tuning and inference workflows when required
• Exposure to Vertex AI / SageMaker / KServe is a plus

Required Skills
• Programming & Development
• Strong proficiency in Python, OOP principles, and API design
• Experience with FastAPI or Flask microservices
• Understanding of PyTorch or TensorFlow frameworks
• Databases
• Proficiency in PostgreSQL, Redis, and vector databases like Pinecone, Weaviate, pgvector, or Milvus
• AI & Integration Tools
• Experience with LangChain, LlamaIndex, HuggingFace, OpenAI, or similar APIs
• Familiarity with FOSS AI stacks, embeddings, and agentic frameworks (LangGraph, CrewAI, AutoGen)
• Knowledge of MCP and A2A communication protocols
• Architecture & Infrastructure
• Understanding of REST APIs, microservices, and containerized deployments
• Working knowledge of Docker; basic Kubernetes/GPU familiarity preferred
• Soft Skills
• Strong analytical reasoning and ownership mindset
• Collaborative and agile work style across multi-functional teams
• Ability to write clean, maintainable, production-grade code
• Curiosity and self-drive to explore the evolving AI ecosystem

Good-to-Have Skills
• Familiarity with speech, image, or document AI APIs (Whisper, DALL·E, Textract, Stable Diffusion)
• Experience integrating cloud AI providers (AWS Bedrock, GCP Vertex AI, Azure OpenAI)
• Knowledge of embedding optimization, LoRA/PEFT fine-tuning, and data validation tools
• Awareness of data governance and observability tools (EvidentlyAI, Prometheus, Grafana)

Educational Background
• Bachelor’s or Master’s in Computer Science, Data Science, or related fields
• Certifications in Python, AI/ML, or Cloud AI are advantageous

What You’ll Build
• AI-driven backend systems integrating multiple AI providers via unified SDKs
• Scalable RAG and conversational agents connected to real-time data
• Intelligent APIs enabling text, speech, and image-based AI experiences

We are seeking a Full Stack Engineer who can own systems end-to-end — from architecting backend services and infrastructure to guiding web and mobile development teams. This role is ideal for someone with deep backend expertise, strong architectural thinking, and the ability to lead teams across the full stack to deliver scalable, reliable, and modern applications.

You will work on high-impact projects involving distributed systems, background processing, observability pipelines, and production-grade deployments. The ideal candidate is hands-on with backend code, comfortable guiding frontend and mobile teams, and thrives in a collaborative, fast-paced environment.

Key Responsibilities:

• Architect, build, and maintain scalable, distributed systems with strong reliability and performance characteristics.
• Design and develop efficient backend services, REST/GraphQL APIs, background workers, and asynchronous job pipelines.
• Drive database schema design, indexing strategies, triggers/functions, and performance tuning for large-scale workloads.
• Implement robust observability practices using metrics, logging, and tracing frameworks.
• Lead full-stack initiatives by guiding frontend and mobile engineers on architecture, API design, and performance best practices.
• Directly contribute to backend and infrastructure layers while coordinating efforts across teams.
• Build responsive, modern interfaces for web and mobile platforms with effective state management and API integration.
• Ensure secure, maintainable, and production-ready code, including authentication (JWT), authorization, rate limiting, and configuration management.
• Own and manage CI/CD pipelines, Docker-based workflows, and Kubernetes setups for containerization and deployment.
• Mentor engineers, perform code reviews, and help establish strong engineering practices across the stack.
• Evaluate emerging technologies and recommend improvements for scalability, reliability, and developer efficiency.

Skills & Qualifications:

• Languages & Frameworks: Strong proficiency in TypeScript, JavaScript, Node.js, NestJS, and Express.js.
• Databases: Hands-on experience with PostgreSQL and/or MongoDB, plus Redis for caching and background processing.
• Infrastructure & DevOps: Practical experience with Docker, Kubernetes, and CI/CD automation for build, test, and deployment workflows.
• Observability Stack: Familiarity with tools like Prometheus, Grafana, Loki, and/or the ELK stack for metrics, logging, and tracing.
• Cloud Platforms: Experience deploying and operating applications on AWS, Azure, DigitalOcean, or GCP.
• Frontend – Web: Experience building modern web applications using React, Next.js, or Vue.js.
• Frontend – Mobile: Experience with React Native or Flutter for building cross-platform mobile applications.
• UI & State Management: Proficiency in state management, responsive UI, and component-driven development.
• Engineering Best Practices: Strong understanding of asynchronous programming, secure API design, modular architecture, API versioning, and disciplined release processes.

Good-to-Have Skills:

• Theoretical understanding of API gateways, load balancing, and distributed-system design.
• Exposure to integrating Large Language Models (LLMs) or AI-based APIs into applications.
• Familiarity with Domain-Driven Design (DDD), CQRS, or microservice patterns.
• Experience building shared UI component libraries or frontend design systems at scale.

Experience:

• Minimum of 4+ years of professional full-stack development experience.
• Proven track record of designing, building, and deploying backend-heavy applications in production.
• Experience leading and mentoring teams across frontend and backend domains.

Why Join Us:

• Work on high-impact, production-grade systems using modern full-stack technologies.
• Own systems end-to-end, from API architecture and backend services to reliability and DevOps.
• Opportunity to build on cutting-edge platforms that combine AI, scalability, and cloud-native design.
• Collaborate within a high-performing, engineering-first culture that values depth, innovation, and execution excellence.

We are seeking a hands-on Senior Software Engineer II – React / Next.js to build and scale production-grade web applications. This role is ideal for engineers with strong fundamentals in JavaScript, TypeScript, and modern web architecture, who can work across the stack using Next.js (App Router, RSC, API Routes) on the frontend and Node.js/Express on the backend. You will focus on performance, reliability, and clean code design while collaborating with cross-functional teams to deliver high-quality features.

Key Responsibilities:

• Design, develop, and maintain front-end and back-end modules using Next.js, Node.js, and Express.
• Implement SSR, SSG, ISR, and edge deployments (Vercel / Cloudflare) for performant, resilient applications.
• Build and integrate REST and GraphQL APIs, ensuring efficient communication between client and server.
• Optimize web performance, including Core Web Vitals, Lighthouse scores, bundle size, and runtime efficiency.
• Leverage CDNs, caching layers (Redis, Cloudflare), and best practices in client-server architecture.
• Ensure code quality through unit and integration tests using tools such as Jest and Playwright.
• Collaborate closely with design, backend, and DevOps teams to deliver secure, scalable features.
• Participate in code reviews, uphold engineering best practices, and improve overall code quality.
• Mentor junior developers, provide technical guidance, and help drive architectural decisions.
• Contribute to system design discussions with a focus on scalability, fault tolerance, and maintainability.

Skills & Qualifications:

• Experience: 4+ years of experience in full-stack web development.
• Languages & Fundamentals: Strong foundation in JavaScript, TypeScript, ES6+, and browser internals.
• Frontend: Expertise in React 18+ and Next.js 13+ (App Router, Server Components, Server Actions, API Routes).
• Backend: Good knowledge of Node.js, Express.js, and RESTful API design principles.
• Databases: Experience with PostgreSQL/MySQL and ORMs such as Prisma or Sequelize; exposure to Redis is a plus.
• Styling & UI: Familiarity with Tailwind CSS, Shadcn UI, or Styled Components for building modern interfaces.
• Architecture & Scaling: Understanding of client-server architecture, CDN usage, caching strategies, load balancing, and basic fault tolerance.
• Performance & Optimization: Hands-on experience with performance tuning, Core Web Vitals, and bundle optimization.
• Testing & Quality: Experience with unit and integration testing (Jest, Playwright or similar frameworks).
• DevOps & Tooling: Familiarity with Git, CI/CD pipelines, and deployments on platforms like Vercel, AWS, or Dockerized environments.
• Problem-Solving: Strong debugging skills, analytical thinking, and a system-design mindset.
• Collaboration: Ability to work effectively in cross-functional teams and communicate technical concepts clearly.

Good to Have:

• Exposure to GraphQL, WebSockets, or Server-Sent Events (SSE) for real-time features.
• Experience with serverless deployments (Vercel functions, AWS Lambda, Cloudflare Workers).
• Understanding of authentication and authorization flows (JWT, OAuth).
• Additional experience with testing tools such as Vitest or Cypress.

You’ll Thrive in This Role If You:

• Have a strong end-to-end understanding of how web applications work (DNS, CDN, HTTP, rendering).
• Think in terms of architecture and trade-offs, not just implementation details.
• Enjoy building clean, performant, and maintainable applications from the ground up.
• Take ownership of features, care about user experience, and continuously look for ways to improve the system.

We are looking for a Senior Backend Engineer who can design, build, and evolve complex backend systems for large-scale applications. This role goes beyond feature delivery—you will own backend architecture, data modeling, and system integrations, ensuring long-term scalability, reliability, and maintainability. This is a work-from-office role, ideal for engineers who value close collaboration, whiteboard discussions, and deep technical problem-solving with cross-functional teams.

**Key Responsibilities**

Design and implement scalable backend architectures for complex, long-lived applications.

Define service boundaries, APIs, and integration contracts.

Build backend systems using **Node.js / TypeScript (NestJS or equivalent frameworks** ).

Ensure services meet performance, security, and reliability standards.

Make pragmatic architectural decisions aligned with business needs.

**Database & Data Modeling**

Design robust and scalable database schemas.

Manage database migrations and long-term schema evolution.

Optimize queries, indexes, and data access patterns.

Make informed trade-offs between **consistency, availability, and performance.**

**System Integration & Distributed Systems**

Design and implement inter-system communication using **REST, GraphQL, events, queues, and webhooks.**

Build and maintain asynchronous processing and background jobs.

Integrate with internal services, third-party platforms, and external APIs.

Handle retries, idempotency, error handling, and cross-system data consistency.

**Engineering Excellence**

Write clean, maintainable, and testable code.

Participate actively in in-office architecture discussions and design reviews.

Review code and provide strong technical feedback.

Document system designs, architectural decisions, and operational practices.

**Required Skills & Experience**

**6+ years of backend development experience.**

**At least 2 years working in a startup environment.**

Strong expertise in **Node.js / TypeScript** (or equivalent backend stack).

Strong understanding of backend architecture and system design.

Excellent knowledge of databases: **PostgreSQL, MySQL, MongoDB, Redis** .

Experience integrating multiple backend systems

Solid understanding of **API design, authentication, and authorization**

Experience with asynchronous processing and background jobs.

**What We’re Looking For (Mindset)**

Thinks in **systems**, not just features

Enjoys **in-person collaboration** and technical discussions

Comfortable working with complex and evolving requirements

Strong sense of ownership and accountability.

Makes pragmatic, well-reasoned architectural decisions

Enjoys mentoring and raising engineering standards

**What Success Looks Like**

Backend systems are scalable, reliable, and easy to evolve

Databases and integrations are well-designed and maintainable

Cross-system workflows are resilient under real-world conditions

The team benefits from strong in-office technical leadership.

**Why Join Us**

Work on complex backend systems with real business impact

Strong work-from-office culture focused on collaboration and learning

High ownership and architectural influence

Opportunity to shape backend foundations for future products

Strong focus on engineering quality and long-term thinking

As a Senior Product Designer, you will craft high-quality, intuitive, and beautifully designed user experiences that help people understand and collaborate with AI. You’ll work on complex, intelligent systems and translate them into simple, clear, and human-centered interactions. From early concept exploration to high-fidelity prototypes, your work will define how users experience our AI — visually, emotionally, and functionally. If you enjoy solving ambiguous problems, elevating UI craft, shaping interaction patterns, and imagining what’s possible with AI, this role offers the perfect balance of creativity and impact. **Key Responsibilities**

Create high-quality UI animations, micro-interactions, and transitions that clearly communicate AI behavior and system intent.

Design intuitive motion patterns that enhance navigation, feedback loops, and dynamic UI states.

Refine UI elements through thoughtful animation, including cards, buttons, panels, dialogs, loaders, chat flows, and generative elements.

Craft interaction animations that make complex AI responses feel natural, fluid, and informative.

Build and maintain Lottie assets and motion components optimized for cross-platform performance.

**Other Skills**

Experience designing AI or automation-heavy tools.

Motion design or micro-interaction skills.

Conversational or generative UI design.

Familiarity with modern design and AI-assisted tools.

Strong visual taste and attention to detail.

We’re hiring a Senior AI/ML Engineer to lead the design, optimization, and deployment of advanced AI systems. This role goes beyond integration — you’ll architect, fine-tune, and scale LLMs, vision, and speech models, while guiding junior engineers and influencing the AI roadmap for GeekyAnts. You’ll work across core ML/DL, RAG systems, AI in Robotics/IoT, and inference optimization, ensuring production-grade reliability, explainability, and innovation. **Key Responsibilities** **Architecture & System Design**

Architect and deploy end-to-end AI systems — from data pipelines to model serving.

Design modular SDKs for multi-provider AI integration (OpenAI, Claude, Gemini, LLaMA).

Lead decision-making on cloud vs self-hosted LLM deployment (Ollama, vLLM, TGI).

Guide infrastructure design for scalability, observability, and cost efficiency using GPU clusters, Ray, or KServe.

Collaborate with backend, MLOps, and infra teams to ensure high availability and low latency across AI workloads.

**Core ML / DL Development**

Train and fine-tune models (CNN, RNN, Transformers) across text, vision, and speech domains.

Implement LoRA / PEFT fine-tuning for custom LLMs, embedding models, and instruction-tuned variants.

Work with open-source and proprietary model repositories (Hugging Face, Kaggle, Hugging Face Spaces).

Optimize model architectures for inference performance, quantization, and memory efficiency.

Conduct A/B testing, cross-validation, and human evaluation on model outputs.

Build internal evaluation benchmarks and dataset management pipelines for consistent model scoring and comparison.

**Data & Dataset Engineering**

Curate, clean, and version-control datasets for text, image, and audio modalities.

Build pipelines for data labelling, augmentation, and validation using Airflow / Prefect.

Create and manage feature stores, embedding repositories, and dataset registries.

Leverage open datasets (e.g., Common Crawl, LAION, OpenImages, LibriSpeech) and integrate custom enterprise datasets.

Ensure data governance, bias checks, and PII anonymization using Presidio or custom filters.

**AI Ops & Deployment**

Automate model workflows with MLflow, Kubeflow, or Vertex AI for experiment tracking and versioning.

Lead model deployment with vLLM, TGI, or TorchServe, ensuring optimized GPU/TPU utilization.

Set up continuous evaluation pipelines for model drift, bias, and quality decay using EvidentlyAI and Prometheus.

Leverage open datasets (e.g., Common Crawl, LAION, OpenImages, LibriSpeech) and integrate custom enterprise datasets.

Drive adoption of model registries and model cards for transparency and reproducibility.

** Team & Technical Leadership**

Mentor and review the work of AI/ML Engineers I & II.

Collaborate with product, design, and research teams to translate business needs into AI roadmaps.

Lead POCs and experiments for emerging AI verticals (e.g., multimodal, video, robotics, IoT intelligence).

Present internal demos, AI reports, and architectural documentation to leadership and clients

** Core Skills Required**

Programming: Expert-level Python, with a deep understanding of OOP, async, and design patterns

Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain,LlamaIndex.

Model Ops: MLflow, KServe, TorchServe, vLLM, TGI.

Data Stack: Airflow / Prefect, pgvector, Milvus, Pinecone, FOSS, PostgreSQL.

Infra: Docker, Kubernetes, Ray, GPU servers, Cloud AI (Vertex AI, Bedrock, Azure).

Evaluation & Metrics: Familiarity with BLEU, ROUGE, and latency/throughput metrics for AI models.

Security: Secure Vaults, Microsoft Presidio, Fairlearn / AIF360 awareness for data and bias governance.

** Good-to-Have Skills**

Experience with distributed training, quantization, and mixed-precision optimization.

Experience with model compression, distillation, or low-rank adaptation for efficiency.

Contribution to open-source AI frameworks or Hugging Face Spaces.

Research exposure in LLM alignment, prompt optimization, or multimodal reasoning.

Understanding of AI cost governance, observability, and MLOps automation.

** Soft Skills**

Leadership and mentorship mindset with strong communication skills.

Strategic thinker with the ability to drive architectural decisions.

Ownership-driven approach to solving complex AI problems.

Strong documentation and cross-team collaboration habits.

** What You’ll Build**

Enterprise-scale RAG and Agentic Systems across domains and modalities.

Self-hosted AI stack for multi-modal intelligence (text, image, voice).

Reusable AI SDKs, dataset registries, and model inference frameworks powering the GeekyAnts AI ecosystem.

Open-source contributions and internal model spaces that expand GeekyAnts’ AIfootprint.