
AI Innovation Specialist
2 weeks ago
We are seeking a skilled Generative AI Engineer to join our team at Knowledgeworks Global Ltd. As a key member of our AI engineering team, you will design, develop, and deploy cutting-edge AI/ML solutions with a focus on Generative AI and Large Language Models (LLMs).
Job Description:
We're looking for a seasoned Generative AI Engineer to spearhead the development of next-generation AI applications utilizing large language models. You will collaborate closely with cross-functional teams to conceptualize, architect, and deliver robust AI solutions that meet stringent performance metrics.
Key Responsibilities:
- Design and develop innovative AI/ML solutions leveraging generative AI and LLMs.
- Refine, fine-tune, and optimize LLMs for specific use cases and industries.
- Utilize frameworks like LangChain, LlamaIndex, or similar for constructing modular AI applications.
- Integrate LLMs with APIs, databases, vector stores, and enterprise platforms.
- Evaluate and implement model deployment strategies across various environments (on-prem, cloud, serverless, containerized).
- Collaborate with data engineers, product managers, software engineers, and other stakeholders to deliver end-to-end AI solutions.
- Stay updated with advancements in AI, ML, and GenAI research and propose 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 Qualifications:
- 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 NLP, 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 MLOps tools (MLflow, Kubeflow, Weights & Biases) for model lifecycle management.
- Strong problem-solving, analytical, and communication skills.
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