About the job
We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
Responsibilities
Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
Create robust evaluation frameworks for measuring and improving model performance
Build and maintain agentic workflows for autonomous AI systems
Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Qualifications
Minimum
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Bachelor's or Master's degree in Computer Science, or related technical field
3+ years of experience in Machine Learning/AI engineering
Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
Practical experience with LLM deployments and fine-tuning
Experience with vector databases and embedding models
Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
Strong understanding of RAG architectures and implementation
Preferred
Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
Knowledge of prompt engineering and chain-of-thought techniques
Experience with containerization and microservices architecture
Background in Reinforcement Learning
Contributions to open-source AI projects
Experience with ML ops and model deployment pipelines