AI Fullstack Developer
4 days ago
ob Title: AI Full stack Developer – GenAI & NLPLocation: Pune, India (Hybrid)Work Mode: RemoteExperience Required: 2+ Years (Relevant AI/ML with GenAI & NLP)Salary: Up to ₹15 LPA (CTC)Employment Type: Full-timeDepartment: AI Research & Development
Role Overview:We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You'll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives.
Key Responsibilities:Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar.
Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search.
Integrate language models into production systems using RESTful APIs or cloud services.
Evaluate and optimize models for accuracy, latency, and cost.
Collaborate with product and engineering teams to implement intelligent user-facing features.
Preprocess and annotate text data, create custom datasets, and manage model pipelines.
Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks.
Required Skills & Qualifications:Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI.
Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures.
Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs.
Hands-on experience in any frontend/ backend technologies for software development.Experience with deploying models using Flask, FastAPI, or similar frameworks.
Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering.
Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP).
Preferred Qualifications:Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning.
Knowledge of model compression, quantization, or inference optimization.
Exposure to ethical AI, model interpretability, and data privacy practices.
What We Offer:Competitive salary package up to ₹15 LPA.
Remote work flexibility with hybrid team collaboration in Pune.
Opportunity to work on real-world generative AI and NLP applications.
Access to resources for continuous learning and certification support.
Inclusive, fast-paced, and innovative work culture.
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