AI Engineer

We are looking for a skilled AI Engineer to design, build, and deploy production-ready AI and GenAI solutions. You will work on advanced LLM applications, RAG pipelines, and scalable AI platforms. This role involves end-to-end ownership of AI/ML features from data ingestion to model deployment, integrating solutions into real-world applications. Responsibilities:

• Develop and deploy GenAI and LLM solutions, including prompt engineering and RAG pipelines
• Build scalable data pipelines and production ML workflows
• Implement MLOps/LLMOps processes for model versioning, CI/CD, and monitoring
• Optimize model training and inference performance using modern hardware and frameworks
• Embed Responsible AI practices (fairness, explainability, bias testing)
• Collaborate with architects, data scientists, and product teams for solution integration

• 5-12 years experience in AI/ML engineering

• Hands-on experience with GenAI or LLM frameworks

• Experience with RAG pipelines, embeddings, and vector databases

• Python development, API creation, microservices, and cloud platforms (preferably GCP)

• CI/CD pipelines, Docker/Kubernetes, and MLOps/LLMOps

• Production deployment and monitoring of AI/ML solutions Desirable Skills:

• Knowledge of TensorFlow, PyTorch, scikit-learn, or Hugging Face libraries

• API gateways, secure engineering, and performance optimization techniques

• Experience with observability tools and auto-scaling solutions