Job Description: This is a full-time, on-site role for a MERN Full Stack Developer based in Sector 64, Noida. The developer will be responsible for developing, maintaining, and enhancing both front-end and back-end functionalities of web applications. If you're someone who enjoys solving real-world problems, thrives in a fast-moving environment, and takes ownership of your work, we would love to hear from you. Qualifications 1+ years of hands-on experience in full-stack web development. Hands-on experience developing applications using the MERN stack (MongoDB, Express.js, React, Node.js) Strong proficiency in JavaScript; experience with TypeScript is a plus. Familiarity with Next.js for server-side rendering and advanced frontend patterns. Experience building and consuming RESTful services. Knowledge of Redis and hands-on experience with WebSockets for real-time applications. Familiarity with SQL is expected. Practical understanding of DevOps, with hands-on experience in deploying applications and managing CI/CD workflows. Experience with state management frameworks like Redux. Understanding of cross-browser compatibility issues and workarounds. Ability to design and implement scalable, low-latency, high-availability applications. Proficient in debugging and troubleshooting complex applications. Strong communication and interpersonal skills. Comfortable working independently with minimal supervision. Eagerness to learn, grow, and take on challenging tasks. Knowledge of PHP is a plus. Show more Show less
This is a full-time, on-site role for a MERN Full Stack Developer based in Sector 64, Noida. The developer will be responsible for developing, maintaining, and enhancing both front-end and back-end functionalities of web applications. If you're someone who enjoys solving real-world problems, thrives in a fast-moving environment, and takes ownership of your work, we would love to hear from you. Qualifications: 1+ years of hands-on experience in full-stack web development. Hands-on experience developing applications using the MERN stack (MongoDB, Express.js, React, Node.js) Strong proficiency in JavaScript; experience with TypeScript is a plus. Familiarity with Next.js for server-side rendering and advanced frontend patterns. Experience building and consuming RESTful services. Knowledge of Redis and hands-on experience with WebSockets for real-time applications. Familiarity with SQL is expected. Practical understanding of DevOps, with hands-on experience in deploying applications and managing CI/CD workflows. Experience with state management frameworks like Redux. Understanding of cross-browser compatibility issues and workarounds. Ability to design and implement scalable, low-latency, high-availability applications. Proficient in debugging and troubleshooting complex applications. Strong communication and interpersonal skills. Comfortable working independently with minimal supervision. Eagerness to learn, grow, and take on challenging tasks. Knowledge of PHP is a plus.
Role & Responsibilities: We're seeking a candidate who is not only a writer but also a strategic communicator with a sales-driven mindset and strong emotional intelligence. The ideal person knows how to use words to influence, persuade, and connect deeply with their target audience. Thinks from the customer's perspective and knows how to "hit the right nerve." Fluent in English with impeccable grammar, vocabulary, and a natural flair for clear, engaging communication. Can communicate complex ideas simply and persuasively , transforming detailed information into compelling narratives or headlines. Capable of reframing lengthy pitches or product features into punchy and resonant headlines that instantly grab attention and at the same time stick to their point. Someone who doesn't just write copy but owns the impact of their words, constantly learning, testing, and optimizing. Tech-savvy and eager to explore the latest tools, especially in AI. Loves experimenting with new technologies to enhance work and creativity. We are open to work-from-home arrangements as long as the quality remains high. However, we also welcome candidates who prefer working from the office. Location: Mumbai Central (7 minutes walking distance from the station)
Role & responsibilities: Design and develop voice-based AI agents that can understand and respond naturally in multiple Indian regional languages. Design and train an adaptive recommendation system that analyses user interactions, trends, and content relationships to continuously optimize what, how, and when content is generated or suggested. Optimize AI systems for cost efficiency, speed, and scalability on local or hybrid cloud setups while ensuring security. Work mainly with different kinds of open source models and even paid models/services wherever necessary. Understand trade-offs (e.g., retrieval vs fine-tuning, on-prem vs API) Drive an open-source-first strategy, selecting, fine-tuning, and deploying models locally wherever possible, while strategically using paid services only when they offer clear advantages. Understand trade-offs (e.g., retrieval vs fine-tuning, on-prem vs API) Preferred candidate profile Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field. Strong Python proficiency with experience in ML frameworks like PyTorch. Experience working with open-weight models like Llama 3, Mistral, Gemma , or similar. Skilled in fine-tuning (LoRA / QLoRA / PEFT) or using RAG-based customization to adapt models for specific domains. Understand model quantization (4-bit/8-bit) and compression to optimize for performance and cost. Experience converting and serving models locally ( GGUF / Ollama / vLLM ) or via inference servers. Can deploy models on AWS, Modal, RunPod or locally using Docker and FastAPI/Flask . Familiar with GPU utilization optimization , inference streaming, and scaling small models efficiently. Comfortable integrating models into backends through REST or GraphQL APIs . Strong hands-on with the Hugging Face ecosystem transformers, datasets, accelerate, bitsandbytes, etc. Experienced with LangChain, LlamaIndex , and preferably LangGraph for building intelligent agents. Experience building or know-how of adaptive recommendation systems using reinforcement learning (Stable Baselines3 / RLlib) or hybrid/content-based recommenders (LightFM / RecBole) to influence user behavior. Knowledge of guardrails & safety mechanisms output validation, domain filters, and hallucination control (e.g., Guardrails.ai, LMQL, guidance). Familiar with core concepts: context windows, token limits, grounding, reinforcement learning. Knowledge of guardrails & safety mechanisms — output validation, domain filters, and hallucination control (e.g., Guardrails.ai, LMQL, guidance). Familiar with core concepts: context windows, token limits, grounding, reinforcement learning. Able to clean and format instruction data for fine-tuning and evaluation. Work with embeddings (e.g., OpenAI, BGE, Instructor, text-embedding-ada-002 ) and vector DBs like FAISS, Chroma, Pinecone, or Weaviate . Experience integrating Speech-to-Text systems (Whisper, Deepgram, Coqui, IndicWav2Vec, NVIDIA NeMo). Experience with Text-to-Speech (ElevenLabs, Azure TTS, Bark, XTTS v2, MeloTTS, Indic-TTS). Understanding of streaming and real-time response handling for conversational agents. Knowledge of prompt templates , retries , fallback logic , and caching mechanisms (e.g., LangChain Memory, Redis). Understands dataset scaling , class balance , and synthetic data generation (using LLMs or self-play)