
AI Innovator
2 weeks ago
Are you a software development professional looking to harness the power of artificial intelligence and machine learning? Do you have a passion for building cutting-edge AI applications that drive innovation and growth? We are seeking an experienced Generative AI Engineer to join our team in this exciting role.
- Design, develop, and deploy AI/ML solutions with a focus on Generative AI and Large Language Models (LLMs).
- Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks, leveraging frameworks such as LangChain, LlamaIndex, or similar.
- Integrate LLMs with APIs, databases, vector stores, and enterprise applications, ensuring seamless integration and efficient workflows.
- Evaluate and implement model deployment strategies across various environments, including on-prem, cloud, serverless, or containerized setups.
- Collaborate closely with cross-functional teams to deliver end-to-end AI solutions that meet business objectives and exceed customer expectations.
- Stay up-to-date with the latest advancements in AI, ML, and GenAI research, identifying opportunities to adopt new technologies and enhance our AI capabilities.
- Implement ModelOps best practices for continuous training, deployment, and monitoring of models in production, ensuring high-quality outputs and minimizing operational risks.
- Ensure responsible AI practices throughout the development process, prioritizing bias mitigation, data privacy, and compliance to maintain the highest standards of ethics and integrity.
- 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, with a strong understanding of AI/ML fundamentals.
- Strong knowledge of Natural Language Processing (NLP), deep learning, embeddings, and transformers, with experience working with LLMs like OpenAI GPT, Anthropic Claude, LLaMA, Falcon, Mistral, or similar.
- Proven track record of delivering at least 2 production-grade LLM-based projects, with experience working with frameworks like LangChain, LlamaIndex, Haystack, or similar.
- Familiarity with vector databases, cloud platforms (AWS, Azure, GCP), and AI services (Bedrock, VertexAI, Azure OpenAI) is highly desirable.
- Proficiency in containerization and deployment tools, such as Docker, Kubernetes, and CI/CD pipelines, is essential for success in this role.
- Experience with ModelOps tools like MLflow, Kubeflow, Weights & Biases for model lifecycle management is also highly valued.
- Strong problem-solving, analytical, and communication skills are critical for effective collaboration and project delivery.
As a leading organization in the field of AI and machine learning, we offer a dynamic and supportive work environment that fosters innovation, creativity, and growth. Our team is passionate about developing cutting-edge AI solutions that make a real impact on people's lives. If you share our vision and are committed to delivering exceptional results, we encourage you to apply for this exciting opportunity.
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