AI Engineer
Core
Build and scale production-grade on-premise Generative AI systems for enterprise knowledge intelligence, including RAG pipelines, agent orchestration, and multimodal AI.
Role type
Junior AI Engineer (0–2 years)
Builds
Enterprise-grade on-prem GenAI platforms, agentic workflows, and multimodal AI pipelines
Domain
Enterprise Generative AI, Knowledge Intelligence, On-prem Infrastructure
Deliverable
production ML models
Required skills
Python, Machine Learning, NLP, LLM concepts, Relational & NoSQL databases, Redis, Vector databases, Embeddings, Similarity search
Preferred skills
Model serving frameworks (vLLM, Ollama), RAG/Agentic AI systems, Tool-based/MCP architectures, STT/TTS systems, Multimodal AI pipelines, Linux, Docker, On-prem deployments
Technologies
Python, MySQL, MongoDB, Redis, vLLM, Ollama, Google ADK, Linux, Docker
Responsibilities
Build and enhance RAG and Agentic AI pipelines; Develop AI services and APIs; Work with on-prem model runtimes; Design agent workflows; Integrate enterprise data sources; Support speech and multimodal AI pipelines; Work with vector and graph-based retrieval systems
Seniority
Junior, hands-on IC