Note: The job is a remote job and is open to candidates in USA. NR Consulting is seeking a Senior Data Engineer to develop and execute strategies for Generative AI initiatives. The role involves architecting large-scale backend systems, collaborating with cross-functional teams, and mentoring junior engineers.
Responsibilities
- Develop and execute a forward-thinking strategy for GenAI, focusing on emerging technologies and innovative solutions
- Client out comprehensive roadmaps for GenAI initiatives, ensuring alignment with business goals and technological advancements
- Lead the creation of cutting-edge prototypes to explore new algorithms, techniques, and open-source technologies
- Architect and optimize large-scale backend systems, prioritizing performance, scalability, and low latency
- Design and implement advanced algorithms, particularly in Retrieval-Augmented Generation (RAG) systems and Agentic workflows
- Ensure high standards of code quality, performing code reviews and refactoring to enhance modularity and maintainability
- Collaborate with Product Managers, Solution Architects, and engineering teams to translate prototypes into scalable solutions
- Mentor junior engineers and foster a culture of innovation
- Work with architects to secure design approvals and ensure cohesive system architecture
- Create demos to showcase new features and innovations to stakeholders and customers
- Monitor and review the latest research papers in Generative AI to integrate cutting-edge techniques
- Advocate for ethical AI practices to ensure AI solutions are fair, transparent, and unbiased
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts
- Establish robust monitoring and evaluation frameworks to track AI model performance, ensuring accuracy and efficiency
Skills
- 7+ years of experience
- Must have skills/experience with GenAI
- Must have skills/experience with Azure
- Must have skills/experience with Application Development/Integration
- Proficiency in GPT for NLP
- Proficiency in Client algorithms for predictive analytics
- Proficiency in cloud-to-cloud integrations
- Proficiency in GraphQL
- Experience with Generative AI technologies, including RAG systems
- Experience with Agentic workflows
- Experience with open-source frameworks such as LangChain and LlamaIndex
- Strong skills in AWS, Azure, GCP
- Experience in designing scalable AI architectures
- Proven experience in building and optimizing large-scale GenAI systems
- Expertise in state-of-the-art technologies such as Generative Pre-trained Transformers (GPT)
- Expertise in Natural Language Processing (NLP)
- Expertise in Transformer models
- Track record of developing and launching large-scale deep learning solutions
- Contributed to the technical community through tech talks, publications, or open-source projects
- Led teams of engineers to deliver on large cross-functional projects autonomously
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