AI Engineer

Job Summary

We are seeking a talented AI Engineer with expertise in building and deploying AI/NLP solutions using platforms like Microsoft Azure OpenAI and GPT models. The ideal candidate will have a strong background in Python/.NET, prompt engineering, and web development, coupled with experience in leveraging GenAI libraries, cloud infrastructure, and modern frameworks like LangChain. If you have a passion for creating cutting-edge AI applications and solving complex problems, we want to hear from you.

Key Responsibilities

Develop and implement AI/NLP solutions leveraging platforms like Microsoft Azure OpenAI and GPT models.
Build and optimize AI/ML pipelines using Python and libraries such as PyTorch, Pandas, Pydantic, and scikit-learn.
Create, deploy, and maintain robust software solutions, ensuring scalability and reliability.
Extract data from various sources (text, structured data, databases) and preprocess it for AI applications.
Design and develop web applications using Python, Ubuntu, MySQL/PostgreSQL, HTML, and JavaScript.
Work with IDEs such as PyCharm and Visual Studio Code to write, debug, and optimize code.
Utilize frameworks like LangChain for developing AI workflows and solutions.
Collaborate with team members to report progress, address challenges, and proactively contribute to project goals.
Maintain version control and workflow management using JIRA, GitHub, and cloud infrastructure.
Qualifications and Skills

Required Skills:

AI Expertise: Experience with Microsoft Azure OpenAI and GPT models.
Programming: Proficiency in Python and/or .NET for AI and web development.
Prompt Engineering: Knowledge of programming languages like Python and JavaScript for designing effective prompts.
Web Development: Strong experience with Python/Ubuntu/MySQL/PostgreSQL/HTML/JavaScript for building web-based solutions.
Libraries/Frameworks: Familiarity with Python libraries (e.g., PyTorch, Pandas, scikit-learn, Pydantic) and frameworks like LangChain.
Data Processing: Expertise in extracting, cleaning, and processing data from diverse sources.
Tools: Proficient with IDEs such as PyCharm and Visual Studio Code.
Version Control: Knowledge of JIRA, GitHub, and cloud infrastructure for seamless development and deployment.
Soft Skills: Strong communication, teamwork, and proactive problem-solving skills.
Preferred Skills:

Experience with GenAI libraries and frameworks for natural language processing.
Familiarity with building scalable AI workflows using LangChain.
Hands-on experience with cloud platforms and managing AI workloads in cloud environments.