AI Lead

Job Description:

AI & ML:

- Develop, implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications.

- Collaborate with cross-functional teams, including data scientists, software engineers, to integrate AI solutions into existing products and services.

- Hands-on expertise in Python programming and familiarity with AI and machine learning frameworks.

- Conduct data analysis, preprocessing, and feature engineering to extract valuable insights using Generative AI, LLMs.

- Stay updated on the latest AI, ML, Generative AI advancements, research papers, tools, incorporating them into AI development projects.

- Optimize Generative AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.

- Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes.

- Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications.

- Hands-on experience with AI coding assistants (e.g., GitHub Copilot) and other AI-driven development tools.

- Design, develop, and maintain IDE extensions for popular development environments such as Visual Studio Code, IntelliJ IDEA, Eclipse, and others.

- In depth understanding of concepts related to prompt engineering, LLM models, context window management, Agentic Systems & workflows.

- Design and develop custom generative models tailored to specific applications.

- Experiment with various neural network architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and more.

- Data cleaning, chunking & populating data into vector stores.

- Experience integrating AI APIs such as OpenAI, Azure OpenAI, LangChain, etc.

- LLM Data stores - Azure Cosmos DB or Azure AI Search.

- Agentic workflows - LangChain, llama, Semantic kernel or AutoGen.

- Azure AI services - specific to GenAI or Agentic Workflow related services such as Azure OpenAI, OpenAI Assistants/AI Agents.

- Proficiency with CI/CD and automation tools: GitHub Actions, Azure DevOps, VS Code.

- Previous involvement in copilot projects for areas like development, customer Support.

Prompt Engineering:

- Developing, testing and refining AI-generated text prompts.

- Collaborating with content, product and data teams to align prompts with company goals and user needs.

- Continuously improving prompt quality, performance and the overall AI prompt generation process.

- Experiment with different prompts to optimize AI performance and ensure accuracy and relevance.

- Building a prompt library, Integrating prompts into workflows and applications, Training and tuning AI models.

- Create prompt templates and frameworks for specific use cases.

- Troubleshoot and refine prompts that produce suboptimal results.

Requirements:

Must Have:

- Hands-on Experience in either of the following programming languages Python / C# / Java / JavaScript.

- AI-centric libraries like TensorFlow, PyTorch, Keras.

- Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.

- Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.

- Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs).

- Hands-on Experience in using Coding Assistants GitHub Copilot, Codium, ChatGPT.

- Hands-on Experience in using Agentic AI Platforms Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc.

- Experience with cloud platforms like AWS, Azure, GCP.

- Provide direction, mentorship for junior AI engineers in all projects related aspects.

- Participate & perform code reviews of Generative AI, AI Components & Codebase.

- Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.

- Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.

Optional Skills & Qualifications:

- Experience in developing, managing products/solutions using .NET Platform / Java Platform either the Full Stack & Monolith.

- Understanding & working knowledge of Classic ASP, VB6.

- Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI) and DevOps tools (e.g., Docker, Kubernetes) for continuous delivery of Java applications.

- Basic understanding of cloud security best practices.

Skills

Python, Machine Learning, Generative AI, Tensorflow, PyTorch, LangChain, Prompt Engineering, Artificial Intelligence, Distributed Computing