DHI Solutions - Generative AI Engineer - Python/LLM

About the Role :

We are on a mission to build cutting-edge, scalable Generative AI (GenAI) solutions that deliver real-world impact. If you've worked on GenAI projects, deployed APIs, debugged endpoints, and enjoy working at the intersection of Python, cloud-native infrastructure, and modern front-end extensionsthis is your opportunity to make a mark.

You will join a dynamic and fast-paced team where youll help build, deploy, and maintain GenAI-based systems at scale using tools such as Python, Docker, Kubernetes, and TypeScript-based extensions.

Key Responsibilities :

- Design, develop, and deploy scalable Python APIs that serve GenAI models and related functionalities.

- Manage containerized applications with Docker and deploy them on Kubernetes clusters for high availability and performance.

- Troubleshoot and debug complex issues, including API endpoint failures, latency problems, and deployment inconsistencies.

- Develop interactive TypeScript extensions, integrating them with backend systems and GenAI services.

- Collaborate with data scientists and ML engineers to integrate LLM (Large Language Model) capabilities into

production systems.

- Monitor application health, ensure proper scaling, and implement DevOps best practices.

- Work cross-functionally with teams across engineering, product, and AI to ensure timely delivery and optimal performance.

Required Qualifications :

- 5+ years of experience working on GenAI projects or relevant exposure to generative model-based applications.

- Should have worked min of 2 projects on Gen AI

- Strong expertise in Python, with a deep understanding of building APIs (using FastAPI, Flask, or similar

frameworks).

- Hands-on experience with Docker for containerization and managing production-grade deployments on Kubernetes.

- Proven ability to deploy, scale, and monitor APIs in cloud-native environments.

- Proficiency in TypeScript, with experience building extensions or interactive front-end modules.

- Familiarity with LLM architectures (e.g., GPT, LLaMA, Claude) and experience working with their APIs or open-source implementations.

- Strong debugging skills and the ability to investigate and resolve issues across the stack.

Nice to Have :

- Experience with API gateways, observability tools (Prometheus, Grafana), or CI/CD pipelines.

- Familiarity with vector databases or GenAI toolkits like LangChain, RAG frameworks, or OpenAI/Anthropic APIs.

- Exposure to MLOps practices and model deployment workflows.

Why Join Us :

- Work on frontier AI technology with real-world applications.

- Join a collaborative and high-performing team passionate about GenAI.

- Opportunities for growth and ownership in a fast-evolving tech landscape.