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 (RAG, MCP Servers, Conversation Agents)
Domain
Enterprise AI, Generative AI, MLOps
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, LangChain, LangGraph, vector databases (Pinecone, FAISS), LLM fine-tuning, REST API development, MLOps tools (MLflow, Kubeflow, SageMaker)
Preferred skills
Text-to-Speech/Speech-to-Text integration, computer vision, time-series modelling, multimodal AI
Technologies
LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit, Pinecone, FAISS, Deepgram, ElevenLabs, Cartesia, MLflow, Kubeflow, SageMaker
Responsibilities
Lead end-to-end development of AI/ML models from ingestion to monitoring; Build generative-AI solutions aligned with business goals; Develop and integrate AI models into production systems; Optimize models for performance, scalability, and cost-efficiency; Monitor model performance in production (drift, bias, fairness); Document model design and solution rationale.
Seniority
Senior, hands-on IC