AI Fullstack Developer
AI Fullstack Developer
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Job Description
ob Title: AI Full stack Developer GenAI & NLP
Location: Pune India (Hybrid)
Work Mode: Remote
Experience Required: 2 Years (Relevant AI/ML with GenAI & NLP)
Salary: Up to 15 LPA (CTC)
Employment Type: Full-time
Department: 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 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:
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Design fine-tune and deploy NLP and GenAI models using LLMs like GPT BERT LLaMA or similar.
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Build applications for tasks like text generation question-answering summarization sentiment analysis and semantic search.
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Integrate language models into production systems using RESTful APIs or cloud services.
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Evaluate and optimize models for accuracy latency and cost.
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Collaborate with product and engineering teams to implement intelligent user-facing features.
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Preprocess and annotate text data create custom datasets and manage model pipelines.
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Stay updated on the latest advancements in generative AI transformer models and NLP frameworks.
Required Skills & Qualifications:
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Bachelor s or Master s degree in Computer Science AI/ML or a related field.
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Minimum 2 years of experience in fullstack development and AI/ML development with recent work in NLP or Generative AI.
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Hands-on experience with models such as GPT T5 BERT or similar transformer-based architectures.
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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.
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Experience with deploying models using Flask FastAPI or similar frameworks.
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Strong understanding of NLP tasks embeddings vector databases (e.g. FAISS Pinecone) and prompt engineering.
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Familiarity with MLOps tools and cloud platforms (AWS Azure or GCP).
Preferred Qualifications:
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Experience with LangChain RAG (Retrieval-Augmented Generation) or custom LLM fine-tuning.
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Knowledge of model compression quantization or inference optimization.
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Exposure to ethical AI model interpretability and data privacy practices.
What We Offer:
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Competitive salary package up to 15 LPA.
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Remote work flexibility with hybrid team collaboration in Pune.
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Opportunity to work on real-world generative AI and NLP applications.
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Access to resources for continuous learning and certification support.
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Inclusive fast-paced and innovative work culture.
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Employment Type
Full Time
