SRM Technologies

AI Engineer

• Design, develop, and maintain end-to-end web applications using modern frontend and backend technologies.
• Build responsive, high-performance user interfaces using React JS and related JavaScript or TypeScript frameworks.
• Develop scalable backend services, RESTful APIs, and microservices using Node.js, Django, FastAPI, Flask, or similar frameworks.
• Own full product development lifecycle activities including requirements analysis, architecture design, implementation, testing, deployment, monitoring, and continuous improvement.
• Integrate AI capabilities into enterprise applications using LLMs, RAG pipelines, chatbot frameworks, and prompt engineering techniques.
• Design and implement AI-enabled workflows including document ingestion, embeddings, vector search, retrieval optimization, and response generation.
• Collaborate with product managers, UX designers, AI/ML engineers, DevOps teams, and business stakeholders to deliver reliable and user-focused solutions.
• Ensure application security, scalability, performance, maintainability, and reliability across frontend, backend, database, and AI components.
• Deploy, manage, and optimize applications and AI services on cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure.
• Write clean, modular, well-tested, and maintainable code following software engineering best practices.
• Mentor junior engineers, participate in code reviews, and contribute to technical design discussions and architecture decisions.

Senior Full Stack AI Engineer

Security Engineer

• Conduct security assessments of third-party vendors, suppliers, and service providers.
• Review SOC 2 reports, ISO 27001 certifications, penetration testing reports, security questionnaires, and architecture documentation.
• Assess controls related to data protection, IAM, infrastructure security, incident response, and business continuity.
• Document findings, risk ratings, remediation recommendations, and approval decisions.
• Perform security reviews of SaaS platforms, enterprise applications, and corporate technology solutions.
• Evaluate authentication, authorization, data handling, integrations, logging, monitoring, and security posture.
• Assess emerging technologies, including AI-enabled solutions.
• Execute assessments in accordance with established standards and procedures.
• Maintain complete assessment documentation, evidence, findings, and recommendations.
• Track remediation activities and assessment status.

Senior Full Stack AI Engineer

Corporate Security Architect