As a Back-end Engineer at Turgon, you will be responsible for playing a crucial role in scaling the product and AI agents. This position offers a unique opportunity to work on cutting-edge AI agentic frameworks alongside experienced founders and make a significant impact on the company's growth. Key Responsibilities: - Designing and implementing scalable backend services for LLM applications - Developing data pipelines for ingestion, preprocessing, and storage (both batch and real-time) - Integrating and orchestrating LLM frameworks such as LangChain, LangGraph, and Hugging Face using Python - Collaborating with the DevOps team to containerize, monitor, and automate deployments utilizing Docker and Kubernetes - Ensuring data quality, governance, and security in AI workflows - Optimizing inference latency, throughput, and cost in both cloud and on-premises environments - Troubleshooting production issues and enhancing model performance metrics iteratively Qualification Required: - Minimum of 3 years of backend development experience with proficiency in Python - Strong expertise in data engineering, including SQL/noSQL, ETL frameworks, and data validation - Hands-on experience with LangChain, LangGraph, and/or Hugging Face Transformers - Previous exposure to deploying ML models in production using REST/gRPC APIs, serverless architecture, or microservices - Solid understanding of the ML lifecycle encompassing training, evaluation, monitoring, and retraining - Familiarity with cloud platforms like AWS, Azure, or GCP for data storage and compute - Excellent problem-solving skills, effective communication, and code-review practices Turgon is a startup based in San Francisco and New Delhi, founded by serial entrepreneurs. They have a growing office in South Delhi and offer a collaborative, high-energy startup culture. Their values include an always learning mindset, collaborative environment, and an entrepreneurial approach to tasks. Employees can benefit from equity via ESOPs, a competitive salary, and the opportunity to work at the forefront of AI-driven enterprise services. The company values a diverse educational background, and candidates with a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience are encouraged to apply. Relevant certifications such as TensorFlow Developer or AWS/GCP ML Engineer are considered a plus. To apply for the position of Back-End LLM Engineer at Turgon, please send your resume and a brief note to careers@turgon.ai with the subject line "Back-End LLM Engineer.",
As a Full-stack Engineer at Turgon, you will play a pivotal role in rapidly scaling the product and AI agents to meet the growing demand for AI-led services. You will have the opportunity to work with marquee customers and be at the cutting edge of AI agentic frameworks alongside experienced founders. **Key Responsibilities:** - Architect, develop, and maintain responsive web applications using Next.js, React, and TypeScript - Build and consume RESTful and GraphQL APIs using Node.js, Express, or serverless functions - Implement server-side rendering, static site generation, and client-side hydration for optimal performance - Integrate LLM-powered features such as AI agents, chatbots, summarization, and data pipelines with front-end interfaces - Ensure code quality through unit/integration tests, code reviews, and CI/CD pipelines - Collaborate with UX/UI designers, DevOps, and AI teams to deliver end-to-end features - Optimize applications for accessibility, performance, and scalability - Troubleshoot and resolve production issues across the full stack **Must-Have Qualifications:** - 3+ years of hands-on full-stack web development experience - Expertise in Next.js, React, and TypeScript - Strong backend skills in Node.js (or equivalent) with API building and security experience - Proficiency in relational and/or NoSQL databases like PostgreSQL, MySQL, or MongoDB - Familiarity with Git workflows and modern CI/CD tools (GitHub Actions, Jenkins, CircleCI) - Solid understanding of web fundamentals including HTML5, CSS3 (Tailwind, styled-components or equivalent) - Excellent problem-solving, communication, and collaboration skills **Nice-to-Have Skills:** - Experience with AI/LLM frameworks like LangChain, LangGraph, or Python for AI integrations - Cloud deployment experience (AWS, Azure, or GCP) and knowledge of containerization (Docker, Kubernetes) - Understanding of serverless architectures (Vercel, AWS Lambda, Cloud Run) - Familiarity with observability tools such as Sentry, New Relic, Datadog - Prior exposure to Agile/Scrum processes In addition to the technical challenges, Turgon offers a values-aligned culture, competitive salary, equity via ESOPs, and the opportunity to work in a collaborative, high-energy startup environment in South Delhi and San Francisco. You will have access to top AI researchers worldwide to drive innovation and continuous learning.,