AI Engineer
Core
Design, develop, and deploy machine-learning and deep-learning models (including generative-AI) to address 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 business goals
Domain
Artificial Intelligence, Generative AI, MLOps, Cloud Infrastructure
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, Computer Vision, Time-series modelling, Multimodal AI
Technologies
Pinecone, FAISS, Deepgram, ElevenLabs, Cartesia, MLflow, Kubeflow, SageMaker, LiveKit, MCP Servers
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 and implement remediation; Document model design and solution rationale; Work directly with clients to translate requirements into AI solutions
