AI Software Engineer

About

We are seeking a highly motivated and experienced AI Software Engineer to join our growing team. The ideal candidate will have strong hands-on experience building and deploying AI solutions in production environments, with a solid foundation in machine learning, optimization, and scalable system design. Candidates with experience in computational knowledge graphs and exposure to the Oil & Gas industry are highly preferred.

This role requires a combination of software engineering expertise, AI/ML knowledge, and the ability to develop production-ready solutions that solve complex business challenges.

Responsibilities

• Design, develop, and deploy AI-powered applications and scalable software solutions.
• Build and maintain machine learning models and AI workflows for production environments.
• Develop and integrate computational knowledge graph solutions to enhance data intelligence and decision-making capabilities.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.
• Optimize model performance, system efficiency, and scalability.
• Implement best practices for software development, testing, deployment, and monitoring.
• Participate in architecture discussions and contribute to system design decisions.
• Work with large datasets and build data pipelines for AI model development and deployment.
• Support continuous improvement and innovation across AI initiatives.

Required Qualifications

• 3–8 years of overall industry experience, including:
  • 2–3 years of hands-on AI production environment experience
• Strong programming experience in Python
• Strong mathematical foundation related to AI and machine learning concepts
• Hands-on experience with Machine Learning algorithms and model deployment
• Experience with Computational Knowledge Graphs
• Strong understanding of optimization techniques and system design principles
• Experience developing and deploying scalable AI systems
• Knowledge of data structures, algorithms, and software engineering best practices
• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of MLOps concepts and model lifecycle management
• Domain knowledge or prior experience in the Oil & Gas industry is highly preferred
• Experience with distributed systems and modern software architectures

Skills

• Python
• Artificial Intelligence / Machine Learning
• Knowledge Graphs
• Optimization Techniques
• System Design
• MLOps
• Data Engineering
• Cloud Technologies
• Problem Solving & Analytical Thinking