Python
Machine Learning (ML)Role: Senior AI Engineer
Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)
Employment Type: Full-time
Experience: 2–5 years (Full-stack development with AI exposure)
About the Role & Work Location.
The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.
Primary Focus
As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.
Key Responsibilities
- Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
- Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
- Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
- Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
- Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
- Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
- Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.
Skills Required
- Strong proficiency in Python for backend development.
- Frontend expertise in React.js or Angular with 2+ years of experience.
- Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
- Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
- Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
- Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.
Growth Path
- AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
- Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
- Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
- AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.
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