AI Engineer
Core
Design, develop, and deploy machine-learning and deep-learning models (including generative-AI) to solve complex business problems.
Role type
Senior IC AI Engineer (Generative AI & MLOps)
Builds
Scalable AI/ML pipelines, production-ready models, and agentic workflows for client stakeholders
Domain
Enterprise AI, Generative AI, MLOps
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, LangChain, LangGraph, RAG, Agentic Workflows, LLM fine-tuning, Vector Databases, MLOps tools, REST APIs, Microservices
Preferred skills
Text-to-Speech/Speech-to-Text integration, Computer Vision, Time-series modelling, Multimodal AI
Technologies
Pinecone, FAISS, Deepgram, ElevenLabs, Cartesia, MLflow, Kubeflow, SageMaker, LiveKit, MCP Servers
Responsibilities
Lead end-to-end model development from ingestion to monitoring; Build generative-AI solutions; Integrate models into production systems; Optimize for performance and cost; Monitor production performance and implement remediation; Document design and data provenance; Collaborate with clients to translate requirements into solutions