Job Description

Job Posting: AI Project Engineer

Are you passionate about building and deploying cutting-edge AI solutions? Do you thrive in a collaborative environment and enjoy tackling complex technical challenges? If so, we encourage you to apply for the AI Project Engineer position at Lizmotors.

Role Overview:

We are seeking a highly motivated and skilled AI Project Engineer to join our innovative team. The ideal candidate will have 1-3 years of professional experience in AI development, with a strong emphasis on practical application and an eagerness to contribute to cutting-edge projects. This role involves the full lifecycle of developing, deploying, and maintaining AI models and systems, collaborating closely with cross-functional teams to deliver impactful AI-driven solutions. You will play a key role in translating business needs into robust and scalable AI solutions.

Key Responsibilities:

Model Development and Deployment: Design, develop, and deploy AI models, ensuring scalability, performance, and reliability. Workflow Automation: Implement and optimize agentic workflows for various AI applications, streamlining processes and enabling autonomous operations. System Integration: Integrate AI components with existing systems, ensuring seamless data flow and functionality. Performance Optimization: Monitor, fine-tune, and optimize AI models for efficiency, accuracy, and cost-effectiveness. Troubleshooting and Debugging: Identify and resolve issues in AI systems, ensuring robust and reliable operations. Code Management: Utilize Git and GitHub for collaborative development and efficient code management.

Required Technical Skills:

The successful candidate will possess a strong foundation in the following core technical areas:

Programming and Frameworks: Expert-level proficiency in Python is mandatory. LangChain & LangGraph: In-depth understanding and practical experience with LangChain and LangGraph for building complex language model applications. AI Model Management & Infrastructure: Hands-on experience with model fine-tuning of pre-trained AI models for specific tasks and datasets. Familiarity with or experience managing and deploying models. Workflow Automation & Orchestration: Proven experience with MCP, n8n for automating workflows and integrating various services. Strong understanding and practical implementation of agentic workflows for autonomous AI operations. Data Management & Tools: Proficiency in data preprocessing techniques. Strong proficiency with Git and GitHub for version control.

Desirable Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience with cloud platforms such as AWS, Azure, or GCP for deploying AI solutions. Familiarity with containerization technologies like Docker and Kubernetes. Contributions to open-source AI projects or a strong portfolio of personal AI projects. Strong problem-solving skills and a proactive approach to learning new technologies.
Job Types: Full-time, Internship, Contractual / Temporary

Pay: ?350,000.00 - ?600,000.00 per year

Schedule:

* Monday to Friday