Lead a team of engineers and analysts to deliver POCs of LLM applications, driving technical decisions and best practices

Architect, design, and develop AI applications, integrating with Google Vertex, Microsoft OpenAI Azure, and other LLM suites

Design and implement effective prompts, configure LLM settings, and optimize performance through prompt crafting, RAG, fine-tuning and other techniques

Lead and influence cross-functional teams to define requirements, manage user expectations, and deliver high-quality AI solutions

Develop and maintain API endpoints, front-end features, and full-stack applications that leverage LLMs and Generative AI models

Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent

Integrate analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations

Mentor, motivate, and develop the technical capabilities of existing engineering team to cultivate a culture of collaboration and excitement

Stay up-to-date with emerging trends and advancements in Generative AI, LLMs, and related technologies

Continuously learn and adapt to emerging changes in AI and LLMs to ensure that the approach the team take is always at the forefront of innovation while maintain backward integrability.

Drive the adoption of new tools, frameworks, and techniques to improve the efficiency and effectiveness of the team’s work.

10+ years of experience in full-stack software development, with a strong focus on building enterprise-scale distributed and cloud or hybrid-cloud applications

Regarded as an expert in the growing field of AI and developed AI solutions, prototypes, including GenAI and LLMs

Experience with PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and Docker

Deep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM Ops

Experience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applications

Proficiency in programming languages such as Python, Java, JavaScript, and experience with frameworks like React and Node.js

Experience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applications

Familiarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g., Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or Plotly

Strong understanding of data preprocessing techniques for LLMs, including tokenization, embedding, and feature engineering, to optimize model performance and accuracy

Experience creating strategy and process for multi-release code management and CI/CD pipeline using tools like Git, Jenkins, and Artifactory

Ability to strategically influence and communicate complex ideas, anticipating varying perspectives and objections

Required Education:

Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Preferred Education:

Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.