Forward Deployed Engineer

Job Description

• 8–10 years of professional software engineering experience
• Strong hands-on experience with React.js for building modern, scalable frontend applications.
• Strong backend development experience using Python and Node JS
• Solid understanding of AI/ML concepts, including model lifecycle, inference, and real-world deployment considerations.
• Experience working with AI-powered systems, such as LLMs, ML APIs, or data-driven applications.
• Proven experience in system integration, including REST APIs, webhooks, and external services.
• Experience deploying and supporting applications in production environments.
• Strong problem-solving skills and ability to work in ambiguous, customer-facing scenarios.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Proficiency with version control (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitHub Actions)
• Familiarity with testing frameworks (unit, integration, e2e) and basic security practices (auth, encryption, compliance)
• Work directly with customers to understand business requirements and translate them into scalable technical solutions.
• Design, build, and deploy customer-facing applications using React (frontend) and Python (backend)
• Design systems focusing on forward compatibility, scalability, and maintainability.
• Lead end-to-end integration and implementation of AI-driven products into customer systems and workflows.
• Customize and extend core platforms to meet customer-specific use cases while maintaining long-term maintainability.
• Collaborate closely with Product, Data Science, and Platform Engineering teams using Agile methodologies.
• Troubleshoot production issues, optimize performance, and ensure reliability of deployed solutions.
• Act as a technical advisor to customers, helping them adopt best practices for AI-enabled solutions.
• Contribute to internal tooling, reusable components, and technical documentation.
• Write, test, and maintain code in accordance with organizational standards and project requirements.
• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with containerization and orchestration (Docker, Kubernetes)