AI Engineer

At Xenvolt, we help enterprises navigate the growing complexity of governance.

Today’s organizations deal with fragmented data, unclear decision-making, and compliance systems that react only after problems occur. This slows innovation and increases risk. We’re changing that.

By building a predictive, transparent, and adaptive governance framework, we enable organizations to move from reactive to proactive. Using AI-powered insights and real-time monitoring, we help teams anticipate risks, ensure compliance, and operate with confidence driving smarter decisions, stronger accountability, and sustainable growth.

We are seeking a skilled AI Engineer to design, build, and deploy AI-driven automation systems that enhance transparency, compliance, and operational intelligence.

You will lead the development of models and tools that combine machine learning, NLP, and data-driven insights with secure, scalable web applications.

• Design and develop AI/NLP models for data classification, anomaly detection, and predictive governance.
• Integrate AI models into scalable web and backend systems using Node.js, Python, or Java.
• Collaborate with frontend developers (React/Next.js) to integrate AI capabilities into dashboards and tools.
• Develop automated decision support systems using real-time data and AI insights.
• Work closely with data scientists to train, fine-tune, and deploy models for text, image, or structured data.
• Ensure AI systems are secure, explainable, and ethically aligned.
• Conduct code reviews, performance optimization, and continuous integration (CI/CD).
• Stay updated with emerging technologies in AI, ML, and governance automation.

• Strong proficiency in Python and familiarity with Node.js or Java.
• Experience with Machine Learning / NLP frameworks (TensorFlow, PyTorch, Hugging Face).
• Deep understanding of transformer models (BERT, RoBERTa, Llama, Mistral).
• Knowledge of data pipelines, APIs, and real-time data processing.
• Hands-on experience with AWS / GCP / Azure for model deployment.
• Familiarity with Docker / Kubernetes, Git, and CI/CD pipelines.
• Experience with databases (SQL/NoSQL).
• Understanding of AI ethics, data security, and scalable architecture.

• 3–5 years of experience in AI model development and integration.
• Bachelor’s or Master’s degree in Computer Science, AI, or a related field.
• Experience with SCADA systems or industrial data platforms.
• Background in renewable energy, governance automation, or process optimization.
• Knowledge of web security and performance optimization techniques.

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI solutions in governance and sustainability.
• A fast-paced, innovative startup culture that values experimentation and learning.
• Collaboration with diverse teams from data scientists to domain experts.
• The chance to make a real impact in building responsible, transparent, and intelligent systems for the future.