About the Role: We are looking for a passionate and driven AI/ML Engineer with hands-on experience or strong interest in working with Large Language Models (LLMs), fine-tuning techniques, and LangChain framework integration. You will be responsible for building and optimizing intelligent agents, RAG pipelines, and dynamic workflows tailored for real-world applications in the blockchain and AI automation space. Key Responsibilities: Fine-tune and train Large Language Models (LLMs) using open-source frameworks and proprietary datasets. Develop and deploy LangChain-based intelligent agents for custom workflows (RAG, Tool Calling, Memory). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Chroma, Weaviate, or Qdrant. Work with Hugging Face Transformers, OpenAI/Anthropic APIs, and other foundation model platforms. Integrate prompt engineering techniques to enhance model outputs for agent tasks. Optimize training datasets and workflows for efficiency, accuracy, and scalability. Collaborate with backend teams to deploy models in containerized environments (Docker, FastAPI). Monitor performance metrics and continuously improve the models. Required Skills: Strong understanding of Python and ML frameworks (PyTorch / TensorFlow). Familiarity with LLM APIs (OpenAI, Anthropic, Cohere, etc.) Hands-on experience or knowledge of LangChain and/or LangGraph. Experience in vector database integration for RAG pipelines. Basic knowledge of prompt engineering and model inference logic. Exposure to training or fine-tuning transformer-based models. Nice to Have: Experience with model quantization (GGUF/GGML), LoRA, PEFT, or QLoRA. Exposure to Hugging Face ecosystem, including model hub and datasets. Experience with cloud infrastructure (AWS/GCP), Kubernetes, or GPU clusters. Familiarity with MLOps and model versioning practices. Qualifications: B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, AI, Data Science, or equivalent. Project portfolio, GitHub repo, or published demos is a plus (mention in resume). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Schedule: Day shift Fixed shift Work Location: In person
Job Title: React.js Developer Location: Trivandrum Department: Engineering Reports To: Lead Engineer / CTO Company Overview: At Storygame Private Limited, we develop innovative solutions to improve user experiences and solve real-world problems. We're looking for an experienced and passionate React.js Developer to join our team. Job Description: We are seeking a skilled React.js Developer with 3+ years of hands-on experience in front-end development. The ideal candidate will have a strong technical background, the ability to deliver high-quality code, and a passion for creating exceptional user experiences. Responsibilities: Develop and maintain complex web applications using React.js. Create reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality, responsive code. Optimize components for maximum performance across a wide range of devices and browsers. Collaborate with cross-functional teams, including backend developers and designers, to integrate APIs and deliver seamless user experiences. Ensure technical feasibility of UI/UX designs and provide feedback for improvements. Participate in code reviews, contribute to best practices, and mentor junior developers when required. Requirements: Minimum 3 years of professional experience in front-end development. Strong proficiency in React.js, JavaScript (ES6+), HTML5, and CSS3. Hands-on experience with state management libraries (e.g., Redux, Zustand). Solid understanding of RESTful APIs and asynchronous programming. Strong problem-solving skills with a keen eye for detail. Good understanding of responsive design principles and cross-browser compatibility. Experience with debugging, performance optimization, and testing frameworks. Preferred Skills: Experience with version control systems (e.g., Git, GitHub, GitLab). Knowledge of modern front-end build pipelines and tools (Webpack, Babel, etc.). Familiarity with TypeScript and modern JavaScript frameworks. Basic understanding of server-side rendering (Next.js) and static site generation. Experience with CI/CD pipelines and deployment workflows. Good communication skills and a collaborative mindset. What We Offer: Competitive salary based on experience Flexible working hours and a hybrid work environment Opportunities to work on cutting-edge projects A collaborative, inclusive, and supportive team culture Continuous learning and professional development opportunities How to Apply: Send your updated resume and a brief cover letter explaining why you're a great fit for the role to support@storygame.io . Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Education: Bachelor's (Preferred) Experience: total work: 3 years (Required) software development: 3 years (Required) HTML5: 3 years (Required) Work Location: In person
Job Title: QA Engineer (Manual & Automation) Job Type: Full-Time Experience: 2–3 Years] About the Role: We are looking for a detail-oriented and proactive QA Engineer with 2–3 years of experience in both manual and automation testing . You’ll be responsible for ensuring the quality, performance, and reliability of our products through thorough testing strategies and continuous feedback to the development team. Key Responsibilities: Create, maintain, and execute detailed test plans and test cases (manual and automated) Perform functional, regression, integration, smoke, and UI testing Identify, document, and track bugs using tools like JIRA or Bugzilla Write and maintain automation scripts using tools such as Selenium , Playwright , Cypress , or Postman Collaborate with developers and product managers to understand requirements and define acceptance criteria Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives Continuously improve QA processes, tools, and standards Ensure product quality across different devices, browsers, and platforms Requirements: 2–3 years of experience in software QA (manual and automation) Proficient in writing test cases, test scenarios , and test documentation Experience with automation testing tools (e.g., Selenium WebDriver, Playwright, Cypress, TestNG, JUnit) Hands-on experience with API testing tools like Postman , RestAssured , or SoapUI Knowledge of Java, JavaScript, Python , or other scripting languages for test automation Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) Understanding of SDLC , STLC , and bug life cycle Experience with Agile/Scrum methodologies Strong analytical, communication, and documentation skills Nice to Have: Experience with performance testing tools like JMeter or Locust Knowledge of database testing (SQL queries, data validation) Familiarity with cloud platforms (AWS, GCP, Azure) ISTQB certification or equivalent is a plus Benefits: Competitive salary and bonus structure Flexible work environment (hybrid/remote options) Growth and learning opportunities Health and wellness benefits Friendly, collaborative team environment Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Education: Bachelor's (Required) Experience: Software testing: 3 years (Required) Work Location: In person Speak with the employer +91 7293063429
Job Title: Blockchain Developer (Solana & EVM) Job Type: Full-Time Experience: 2–3 Years About the Role: We are looking for a passionate and skilled Blockchain Developer with hands-on experience in Solana and EVM-compatible chains (like Ethereum, Polygon, BSC) . The ideal candidate will contribute to the design, development, and deployment of decentralized applications (dApps), smart contracts, and supporting infrastructure for Web3 products. Key Responsibilities: Design, develop, test, and deploy smart contracts on Solana (Rust) and EVM-based blockchains (Solidity) Build and maintain backend services that interact with blockchain networks Optimize and audit smart contracts for gas efficiency, security, and performance Integrate Web3 components into front-end applications (working with front-end teams) Collaborate with product managers, designers, and engineers to deliver end-to-end features Stay updated on the latest trends, tools, and best practices in Web3 development Work with wallets, on-chain data, and third-party services like oracles, indexers, and RPC providers Requirements: 2–3 years of professional experience in blockchain development Strong proficiency in Solidity and understanding of EVM internals Hands-on experience with Solana development using Rust and Anchor Familiarity with tools like Hardhat, Foundry, Truffle, Anchor Framework Good understanding of smart contract security , common vulnerabilities (e.g., reentrancy, overflows), and mitigation techniques Experience with RESTful APIs and backend development in Node.js , TypeScript , or similar Experience integrating with Web3 libraries like ethers.js , web3.js , or @solana/web3.js Familiarity with wallets (e.g., Metamask, Phantom), token standards (ERC-20, ERC-721, SPL) Version control using Git Nice to Have: Experience with L2 solutions (Optimism, Arbitrum) Knowledge of DeFi protocols, DAOs, NFTs, or GameFi Understanding of blockchain infrastructure (nodes, RPCs, indexers) Contribution to open-source projects or personal Web3 projects Understanding of CI/CD pipelines and containerized environments (Docker) Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Work Location: In person Speak with the employer +91 7293063429
Job Title: Golang Developer Job Type: Full-Time Experience: 3-4 Years About the Role: We are seeking a skilled and motivated Golang Developer with 2–3 years of hands-on experience to join our engineering team. You will be responsible for building high-performance backend services, APIs, and scalable systems, working in a collaborative and fast-paced environment. Key Responsibilities: Design, develop, and maintain robust, scalable, and secure backend services using Go (Golang) Write clean, efficient, and testable code Build RESTful and/or gRPC APIs to support web and mobile applications Optimize performance and scalability of backend services Collaborate with frontend developers, product managers, and other engineers Participate in code reviews, debugging, and troubleshooting Implement best practices in system architecture, coding, and testing Maintain and improve CI/CD pipelines and development workflows Requirements: 2–3 years of experience in backend development using Golang Solid understanding of concurrency, goroutines, and channels Experience with RESTful APIs , gRPC , and microservices architecture Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis) Experience with Docker , and knowledge of containerized application development Version control experience using Git Familiarity with unit testing , integration testing , and test-driven development (TDD) Strong problem-solving and debugging skills Nice to Have: Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with Kubernetes and infrastructure as code Experience with message queues (Kafka, RabbitMQ, NATS) Exposure to DevOps practices and CI/CD pipelines Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK) Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Work Location: In person Speak with the employer +91 7293063429
THIS ROLE IS ONLY FOR EXPERIENCE PEOPLE About the Role: We are looking for a passionate and driven AI/ML Engineer with hands-on experience or strong interest in working with Large Language Models (LLMs), fine-tuning techniques, and LangChain framework integration. You will be responsible for building and optimizing intelligent agents, RAG pipelines, and dynamic workflows tailored for real-world applications in the blockchain and AI automation space. Key Responsibilities: Fine-tune and train Large Language Models (LLMs) using open-source frameworks and proprietary datasets. Develop and deploy LangChain-based intelligent agents for custom workflows (RAG, Tool Calling, Memory). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Chroma, Weaviate, or Qdrant. Work with Hugging Face Transformers, OpenAI/Anthropic APIs, and other foundation model platforms. Integrate prompt engineering techniques to enhance model outputs for agent tasks. Optimize training datasets and workflows for efficiency, accuracy, and scalability. Collaborate with backend teams to deploy models in containerized environments (Docker, FastAPI). Monitor performance metrics and continuously improve the models. Required Skills: Strong understanding of Python and ML frameworks (PyTorch / TensorFlow). Familiarity with LLM APIs (OpenAI, Anthropic, Cohere, etc.) Hands-on experience or knowledge of LangChain and/or LangGraph. Experience in vector database integration for RAG pipelines. Basic knowledge of prompt engineering and model inference logic. Exposure to training or fine-tuning transformer-based models. Nice to Have: Experience with model quantization (GGUF/GGML), LoRA, PEFT, or QLoRA. Exposure to Hugging Face ecosystem, including model hub and datasets. Experience with cloud infrastructure (AWS/GCP), Kubernetes, or GPU clusters. Familiarity with MLOps and model versioning practices. Qualifications: B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, AI, Data Science, or equivalent. Project portfolio, GitHub repo, or published demos is a plus (mention in resume). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹100,000.00 per month Ability to commute/relocate: Trivandrum, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: AI: 3 years (Required) Work Location: In person
THIS ROLE IS ONLY FOR EXPERIENCE PEOPLE About the Role: We are looking for a passionate and driven AI/ML Engineer with hands-on experience or strong interest in working with Large Language Models (LLMs), fine-tuning techniques, and LangChain framework integration. You will be responsible for building and optimizing intelligent agents, RAG pipelines, and dynamic workflows tailored for real-world applications in the blockchain and AI automation space. Key Responsibilities: Fine-tune and train Large Language Models (LLMs) using open-source frameworks and proprietary datasets. Develop and deploy LangChain-based intelligent agents for custom workflows (RAG, Tool Calling, Memory). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Chroma, Weaviate, or Qdrant. Work with Hugging Face Transformers, OpenAI/Anthropic APIs, and other foundation model platforms. Integrate prompt engineering techniques to enhance model outputs for agent tasks. Optimize training datasets and workflows for efficiency, accuracy, and scalability. Collaborate with backend teams to deploy models in containerized environments (Docker, FastAPI). Monitor performance metrics and continuously improve the models. Required Skills: Strong understanding of Python and ML frameworks (PyTorch / TensorFlow). Familiarity with LLM APIs (OpenAI, Anthropic, Cohere, etc.) Hands-on experience or knowledge of LangChain and/or LangGraph. Experience in vector database integration for RAG pipelines. Basic knowledge of prompt engineering and model inference logic. Exposure to training or fine-tuning transformer-based models. Nice to Have: Experience with model quantization (GGUF/GGML), LoRA, PEFT, or QLoRA. Exposure to Hugging Face ecosystem, including model hub and datasets. Experience with cloud infrastructure (AWS/GCP), Kubernetes, or GPU clusters. Familiarity with MLOps and model versioning practices. Qualifications: B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, AI, Data Science, or equivalent. Project portfolio, GitHub repo, or published demos is a plus (mention in resume). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹100,000.00 per month Ability to commute/relocate: Trivandrum, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: AI: 3 years (Required) Work Location: In person