AI Engineer with DevSecOps - Remote

AI & Machine Learning Development
● Design, develop, and implement AI-powered applications and features.
● Build and optimize RAG models using embeddings, vector databases, and LLM workflows.
● Work with LLMs such as Claude, OpenAI, Gemini, or similar AI models.
● Integrate AI models into web applications, internal tools, and business automation workflows.
● Develop AI agents and AI-assisted workflows where required.
● Work with structured and unstructured data for AI processing, retrieval, and automation.
● Support prompt engineering, model testing, and AI output evaluation.
Claude MCP Protocol & AI Agent Integration
● Build or integrate solutions using Claude MCP Protocol.
● Connect AI systems with external tools, databases, APIs, and business applications.
● Support AI tool-calling, context management, and agent workflow development.
● Troubleshoot AI integration issues and improve workflow reliability.
● Document MCP connections, API usage, and AI workflow architecture.
Full-Stack Development● Develop and maintain web applications using MongoDB, Express.js, React.js, and Node.js.
● Build backend APIs and frontend interfaces for AI-powered platforms.
● Work with JavaScript and TypeScript where required.
● Integrate third-party APIs, AI services, authentication systems, and databases.
● Ensure application performance, scalability, maintainability, and code quality.
● Participate in system design, testing, debugging, deployment, and documentation.
DevSecOps & Application Security
● Support secure software development across the full project lifecycle.
● Integrate security checks into development and deployment pipelines.
● Work with CI/CD workflows to support secure and reliable deployment.
● Assist in implementing or using tools related to SAST, DAST, SCA, and secure code review.
● Identify and help remediate common security issues based on OWASP Top 10 and common
vulnerability classes.
● Support secure API development, access control, authentication, and data handling.
● Work with Docker, cloud deployment environments, and DevSecOps tools where required.
● Ensure AI applications are developed with security, privacy, and compliance considerations.
Technical Collaboration & Documentation
● Work closely with project managers, product owners, business teams, and other developers.
● Translate business requirements into technical solutions.
● Prepare technical documentation for AI model integration, APIs, system workflows, and
deployment processes.
● Support continuous improvement of AI systems, application security, and development
processes.
● Contribute to long-term product development and technical architecture.

● Minimum 3–5 years of working experience in software development, AI development, DevSecOps, application security, or related technical roles.
● Strong experience with JavaScript and the MERN Stack.
● Hands-on experience with Node.js, React.js, MongoDB, and Express.js.
● Experience building or integrating AI/ML applications.
● Practical experience with RAG models, embeddings, vector databases, and LLM workflows.
● Experience with Claude MCP Protocol is highly preferred.
● Familiarity with APIs, webhooks, databases, authentication, and cloud-based deployment.
● Understanding of secure software development practices and DevSecOps workflows.
● Familiarity with SAST, DAST, SCA, secure SDLC, OWASP Top 10, and secure code review.
● Experience working with CI/CD pipelines and modern software delivery workflows.
● Strong debugging, problem-solving, documentation, and communication skills.
● Able to work independently and manage technical tasks responsibly.
● Able to start immediately or within short notice is preferred.
● Fluent in spoken and written English.
Preferred Skills
● Experience with LangChain, LlamaIndex, Pinecone, ChromaDB, Weaviate, Supabase Vector, or similar tools.
● Experience working with Claude, OpenAI, Gemini, or other LLM APIs.
● Experience in AI agent development and workflow automation.
● Experience with cloud platforms such as AWS, Google Cloud, Azure, or Vercel.
● Familiarity with Docker, Kubernetes, GitHub, CI/CD, and deployment pipelines.
● Experience with DevSecOps or AppSec tools for vulnerability scanning, dependency checks, and secure deployment.
● Familiarity with REST APIs, RBAC systems, multi-tenancy, and secure access controls.
● Experience with automation tools such as n8n, Make, Zapier, or similar platforms.
● Understanding of prompt engineering and AI evaluation methods.
● Familiarity with Agile/Scrum working environments.

- Salary
+ 3-5 yoe: Up to 32M
+ >5yoe: Up to 39M
- Receive 100% salary from the onboarding date.
- Participate in company activities: Teambuilding, travel and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.