Remote C# Engineer

AI/ML Engineer Location:  Remote
Shift timings: 10:00 AM/10:30 AM IST onwards

As the AI/ML Engineer, you will be a key architect in the development of our  neurosymbolic reasoning engine. You will work alongside the founding team to integrate  neural networks (like GPT, LLaMA)with symbolic reasoning models to ensure logical consistency and explainability of AI-generated outputs. Your contributions will directly impact the core technology of our platform, laying the foundation for scalable, explainable AI solutions in regulated industries.

Develop the explainability layer that allows the system to explain how  AI models arrive at decisions, ensuring auditability and transparency.
• Collaborate closely with the founding team to translate cutting-edge AI research into production-ready systems.
• Prolog, ASP, graphs)  with neural network-based systems to handle real-world reasoning tasks like contract review, healthcare diagnosis systems, and more.
• Contribute to the architecture of the platform, ensuring scalability, robustness, and compliance with  AI regulations (e.g., EU AI Act, GDPR).
• Help shape the engineering team culture as we grow, providing technical mentorship and promoting best practices in AI development.

Deep expertise in  AI/ML, particularly NLP (Natural Language Processing)  and  neural networks (e.g., Proven experience in backend development and  cloud infrastructure (e.g., AWS, GCP, Azure) , including the deployment of machine learning models.
• Experience with enterprise software development, especially in sectors that require auditability and compliance (e.g., legal, healthcare, finance).
• Comfortable working in an early-stage startup environment with a flexible mindset and problem-solving skills.

Bonus Skills

• Strong understanding of symbolic AI, including logic programming, knowledge graphs, and reasoning engines (e.g., Familiarity with explainable AI techniques like LIME, SHAP, and model interpretability.
• Experience with federated learning and distributed systems for privacy-sensitive AI.
• Familiarity with probabilistic programming or neural-symbolic integration (combining neural networks with rule-based reasoning).
• Knowledge of AI regulatory frameworks such as GDPR, EU AI Act, and HIPAA compliance.

Competitive salary + Early-stage equity (1-3%): As an AI/ML Engineer, you’ll have a stake in the company and the opportunity to grow with us.
• Impact: Your work will directly influence the core technology, shaping the future of explainable AI for enterprise applications.
• Growth Opportunities: Join an innovative startup where you’ll have the chance to grow the engineering team and take on leadership roles as we scale.
• Work in a highly collaborative environment with a team of experienced professionals passionate about AI, ethics, and technology.

We  Optimal Virtual Employee,  headquartered in Australia with offices in Melbourne, Toronto, and LA, is a premier digital transformation and IT service provider. We work with global technology companies to transform their digital roadmap, help in implementation of their digital strategy, and collaborate with various firms. Our 200+ experts excel in technologies such as Dot Net, React, Node, ROR, Salesforce, Java, Python, QA, and DevOps. Our core values include employee wellness, a flexible work environment, and continuous learning. With a hybrid shore model, our team enjoys regular onshore opportunities for professional growth.
We operate as a five-day working company, from Monday to Friday, with 90% of our work involving international clients and 10% with domestic clients. I want to clarify that I'm not calling from a consultancy or a third-party agency. If you decide to join us, you will become a full-time employee on our permanent payroll, dedicated to working on client projects.

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