Artificial Intelligence Engineer

• 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