Innovative AI Solutions Developer

2 days ago


Alwar, Rajasthan, India beBeeGenerative Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Title:

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A skilled Generative AI Specialist is required to design, develop and deploy innovative AI/ML solutions with a focus on Generative AI.

Key Responsibilities:

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  • Design, develop, and deploy AI/ML solutions with a focus on Generative AI.">
  • Fine-tune, prompt-engineer, and optimize Large Language Models (LLMs) for domain-specific tasks.">
  • Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications.">
  • Integrate LLMs with APIs, databases, vector stores, and enterprise applications.">
  • Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments).">
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.">
  • Stay updated with the latest advancements in AI, ML, and GenAI research and propose adoption of new technologies.">
  • Implement ModelOps best practices for continuous training, deployment, and monitoring of models in production.">
  • Ensure responsible AI practices, focusing on bias mitigation, data privacy, and compliance.">

Required Qualifications:

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  • 5+ years of experience in software development (Python preferred; familiarity with Java, C#, or Node.js a plus).">
  • 2+ years of hands-on experience in Generative AI and LLM-based development.">
  • Strong knowledge of AI/ML fundamentals including Natural Language Processing, deep learning, embeddings, and transformers.">
  • Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar).">
  • Proven track record of delivering at least 2 production-grade LLM-based projects.">
  • Experience with LangChain, LlamaIndex, Haystack, or similar frameworks.">
  • Familiarity with vector databases (Pinecone, Weaviate, Milvus, FAISS, Chroma).">
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI services (Bedrock, VertexAI, Azure OpenAI).">
  • Proficiency in containerization and deployment tools (Docker, Kubernetes, CI/CD pipelines).">
  • Experience with ModelOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.">
  • Strong problem-solving, analytical, and communication skills.">

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