Chief Generative AI Architect

2 weeks ago

Hubli, Karnataka, India beBeeGenerative Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Generative AI Engineer

Job Description:

We are seeking a talented Generative AI Engineer to join our team. In this role, you will be responsible for designing and developing cutting-edge AI/ML solutions that utilize Generative AI and Large Language Models.

Key Responsibilities:

  • Design and develop AI/ML solutions focusing on Generative AI and Large Language Models.
  • Fine-tune, prompt-engineer, and optimize Large Language Models for domain-specific tasks.
  • Utilize frameworks like LangChain, LlamaIndex, or similar to build modular AI applications.
  • Integrate Large Language Models with APIs, databases, vector stores, and enterprise applications.
  • Evaluate and implement model deployment strategies in 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 Generative AI research, proposing adoption of new technologies.
  • Implement MLOps 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 Skills and Qualifications:

  • 5+ years of experience in software development, preferably in Python; familiarity with Java, C#, or Node.js is a plus.
  • 2+ years of hands-on experience in Generative AI and LLM-based development.
  • Strong knowledge of AI/ML fundamentals, including NLP, deep learning, embeddings, and transformers.
  • Experience with Large Language Models, such as 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, such as Pinecone, Weaviate, Milvus, FAISS, Chroma.
  • Hands-on experience with cloud platforms, such as AWS, Azure, GCP, and AI services, such as Bedrock, VertexAI, Azure OpenAI.
  • Proficiency in containerization and deployment tools, such as Docker, Kubernetes, CI/CD pipelines.
  • Experience with MLOps tools, such as MLflow, Kubeflow, Weights & Biases, for model lifecycle management.
  • Strong problem-solving, analytical, and communication skills.

Benefits:

This is an exciting opportunity to work with cutting-edge technology and contribute to innovative AI projects. You will have access to ongoing professional development and mentorship, as well as opportunities for career growth and advancement.

Others:

Our company values innovation, creativity, and teamwork. If you are passionate about AI and committed to excellence, we encourage you to apply.

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