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Open nowPosted 493 days ago

GenAI Developer

VVT SOLUTIONS PRIVATE LIMITED19 open roles

Where
Chennai, Tamil Nadu, India
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Your applicationOpen nowGenAI DeveloperVVT SOLUTIONS PRIVATE LIMITED · Chennai, Tamil Nadu, India

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 493 days ago

The posting

About the Role: We are seeking a highly skilled Generative AI Developer to join our AI innovation team. The ideal candidate will have hands-on experience in designing and deploying LLM-powered applications, building RAG pipelines, fine-tuning models using LoRA/Quantization, and implementing multi-agent workflows. If you're passionate about building intelligent systems that power real-world educational and analytical tools, this is your opportunity to innovate with us. Shift : Day shift ( 10 am - 7 pm) Monday to Friday Key Responsibilities: Build and optimize LLM-based applications using frameworks like LangChain, Hugging Face, CrewAI, LangGraph, and LlamaIndex. Develop and maintain RAG (Retrieval-Augmented Generation) pipelines using vector databases like Pinecone, Astra DB, Chroma to improve retrieval accuracy. Fine-tune models (e.g., Llama3, Mistral) using techniques such as LoRA, Quantization, and PEFT to enhance performance and reduce latency. Design agentic AI systems using multi-agent coordination strategies for tasks such as automated content generation and evaluation. Work with prompt engineering to personalize user interactions. Deploy scalable AI systems using FastAPI/Flask, Docker, and AWS (SageMaker, Bedrock, EC2, S3). Collaborate with data science and product teams to turn concepts into production-ready solutions. Required Skills & Qualifications: 2+ years experience in Generative AI / LLM Development. Proficiency in Python and SQL. Strong background in LLM fine-tuning, Prompt Engineering, and NLP evaluation techniques (ROUGE, BLEU, TF-IDF). Experience with FastAPI/Flask, MySQL, MongoDB, and cloud services (AWS/GCP/Azure). Hands-on experience with MLOps tools such as MLflow, Weights & Biases, CI/CD, and containerization using Docker. Degree in Computer Science, Engineering, or a related field. Benefits Salary Package : 6 LPA to 7 LPA

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