Description
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Member of Technical Staff (MTS) — Full Stack & AI (Node.Js, React Js, AWS)
Engineering | India | Full-Time
About the Role
We are looking for a talented Member of Technical Staff (MTS) to join our Engineering team. In this role, you will build scalable, intelligent systems that leverage cutting-edge AI capabilities while maintaining robust backend and frontend applications. You will be part of a collaborative, innovation-driven team pushing the boundaries of full-stack development and AI/ML integration.
What You'll Be Doing
- Design, develop, and maintain full-stack applications using modern frameworks and best practices
- Build and optimize microservices architectures for scalability and performance
- Integrate AI/ML capabilities into production systems, including LLM-based agents and AI workflows
- Develop RESTful APIs and backend services using Java, Python, and Node.js
- Create responsive, performant frontend applications using React.js
- Design and optimize database schemas and queries for high-performance applications
- Collaborate with cross-functional teams to deliver end-to-end technical solutions
- Participate in code reviews, architectural discussions, and technical planning
- Troubleshoot and resolve complex technical issues across the stack
Minimum Qualifications
- Solid experience with Node.js backend development
Strong proficiency in React.js for frontend development
- 2–5 years of professional software development experience
- Working knowledge of cloud platforms (AWS, Azure, or GCP)
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
- Proficiency in Java and/or Python for backend services
- Hands-on experience building and deploying microservices architectures
- Strong understanding of relational and NoSQL databases (design, optimization, and querying)
- Understanding of AI/ML fundamentals and practical experience integrating AI into applications
- Familiarity with AI agents, LLMs (Claude, Gemini, GPT), and MCP (Model Context Protocol) servers
- Experience with modern development practices: Git, CI/CD, testing, and containerization (Docker/Kubernetes)
Preferred Qualifications
- Experience with prompt engineering and AI agent orchestration
- Knowledge of vector databases and RAG (Retrieval-Augmented Generation) architectures
- Experience with serverless architectures and cloud-native development
- Familiarity with infrastructure as code (Terraform, CloudFormation)
- Understanding of system design and distributed systems concepts
- Experience with monitoring, observability, and production debugging
- Open source contributions or technical writing/speaking experience
Technical Skills
- Frontend: React.js, JavaScript/TypeScript, HTML5, CSS3, modern UI frameworks
- Backend: Node.js, Java (Spring Boot), Python (FastAPI/Django), REST/GraphQL APIs
- AI/ML: Claude API, Gemini AI, LangChain, agent frameworks, MCP servers, prompt engineering
- Architecture: Microservices, event-driven systems, API design, distributed systems
- Databases: PostgreSQL, MySQL, MongoDB, Redis, vector databases
- Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD pipelines, serverless
- Tools: Git, Linux, monitoring/logging tools, testing frameworks
Benefits & Perks
- Opportunity to work with cutting-edge AI technologies
- Collaborative, innovation-driven engineering culture
- Competitive compensation and benefits
- Professional growth and learning opportunities
Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees