AI & Machine Learning Engineer

About the role

We are looking for a passionate AI Engineer with 2+ years of experience to help us build the next generation of intelligent, autonomous systems. In this role, you will design and deploy advanced AI systems that power automation, enable data-driven insights, and scale decision-making. You will work closely with product and engineering teams to bring real-world AI applications to life. Key Responsibilities: Design and implement agentic AI systems for various business applications. Work with vector databases (such as Pinecone and Weaviate) for efficient similarity search and data retrieval. Fine-tune large language models (LLMs) and machine learning models for specific use cases. Build and maintain ML pipelines, including data processing and model optimization. Develop and deploy scalable AI solutions on cloud platforms such as AWS or Azure. Collaborate with cross-functional teams to integrate AI capabilities into real-world products.

What we're looking for

Required Skills: 2+ years of experience in AI/ML engineering, machine learning, or a related field. Strong understanding of machine learning concepts and model architectures. Knowledge of vector databases and embedding-based retrieval systems. Experience working with agentic AI or autonomous AI workflows. Proficiency in Python and ML frameworks such as TensorFlow or PyTorch. Experience with cloud platforms (AWS, Azure, or similar). Solid mathematical and analytical foundations. Good to Have: Experience with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning). Familiarity with RAG (Retrieval-Augmented Generation) architectures. Experience with LangChain, LlamaIndex, or similar AI orchestration tools. Knowledge of distributed training or model optimization techniques. Experience deploying AI services using Docker, Kubernetes, or serverless platforms.