Job Description: Sr. GenAI Research Engineer
Remote INDIA
Max bill rate: XX36.00/hr.
Work hours: Available at minimum until Noon EST
Assignment Length: 3 months minimum unsure on probability of extension
Here is the JD
Responsibilities:
Develop and execute a forwardthinking strategy for GenAI focusing on emerging technologies and innovative solutions.
Lay out comprehensive roadmaps for GenAI initiatives ensuring alignment with business goals and technological advancements.
Lead the creation of cuttingedge prototypes to explore new algorithms techniques and opensource technologies.
Architect and optimize largescale backend systems prioritizing performance scalability and low latency.
Design and implement advanced algorithms particularly in RetrievalAugmented Generation (RAG) systems and Agentic workflows.
Ensure high standards of code quality performing code reviews and refactoring to enhance modularity and maintainability.
Work closely with Product Managers Solution Architects and engineering teams and help them to translate prototypes into scalable solutions. Mentor junior engineers and foster a culture of innovation.
Collaborate with architects to secure design approvals and ensure cohesive system architecture.
Create compelling demos to showcase new features and innovations to stakeholders and potential customers.
Continuously monitor and review the latest research papers and publications in the field of Generative AI to integrate cuttingedge techniques into projects.
Advocate for and implement ethical AI practices ensuring that AI solutions are fair transparent and unbiased.
Engage with crossfunctional teams including data scientists software engineers and domain experts to drive interdisciplinary projects and innovations.
Establish robust monitoring and evaluation frameworks to track the performance of AI models in production ensuring they meet the desired accuracy and efficiency standards.
Technical Skills:
Proficiency in GPT for NLP AI ML algorithms for predictive analytics cloudtocloud integrations and GraphQL.
Experience with Generative AI technologies including RAG systems Agentic workflows or opensource frameworks such as LangChain and LlamaIndex (Plus)
Strong skills in AWS Azure GCP and designing scalable AI architectures.
Proven experience in building and optimizing largescale GenAI systems with a focus on cutting edge innovation along with performance and scalability.
Comprehensive knowledge of stateoftheart technologies such as Generative Pretrained Transformers (GPT) for natural language processing (NPL) Artificial Intelligence (AI) Machine Learning (ML) algorithms for predictive analytics seamless cloudtocloud integrations for scalable infrastructure and GraphQL for efficient data queries and APIs.
Track record of developing and launching large scale deep learning solutions to solve realworld problems.
Possesses extensive expertise in Natural Language Processing (NLP) Transformer models and Generative AI coupled with a strong enthusiasm for exploring the latest advancements in these fields. Also wellversed in related technologies such as machine learning deep learning and neural networks with a keen interest in staying updated on cuttingedge innovations in AI.
Contributed to the broader technical community through tech talks publications open source projects or other ways
Must have led teams of engineers to deliver autonomously on large multifunctionally driven projects
Requirements:
Must have 7 years of experience
Must have skills/experience with GenAI Azure Application Development/Integration
Additional Sills:
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