AI Engineer
Core
Build production-ready AI solutions across Machine Learning and Generative AI use cases, focusing on LLM-powered applications and integrating AI capabilities into enterprise systems.
Role type
Senior IC AI Engineer (LLM & RAG)
Builds
LLM-based applications, RAG pipelines, and AI integrations for enterprise systems
Domain
Generative AI, Machine Learning, Enterprise Software
Deliverable
production ML models | product features
Required skills
Python, Pandas, NumPy, Scikit-learn, LLM integration, prompt engineering, LangChain, RAG pipeline design, vector databases (pgvector, FAISS, Pinecone, Weaviate), API development, cloud deployment (Azure, AWS, GCP), observability
Preferred skills
PyTorch, TensorFlow, MLOps tools (MLflow, Airflow, Kubeflow), AI safety guardrails, Java/Spring, frontend technologies, real-time streaming systems
Technologies
LangChain, MCP, pgvector, FAISS, Pinecone, Weaviate, Azure, AWS, GCP
Responsibilities
Develop and maintain AI solutions using ML and GenAI approaches; Build and improve LLM-based applications including prompt engineering and orchestration; Implement and optimize RAG pipelines; Develop integrations using MCP to connect AI systems with external tools; Train, evaluate, and deploy ML models; Contribute to API development and integration of AI capabilities; Support deployment, monitoring, and optimization of AI services in cloud environments.
Seniority
Mid-Senior, hands-on IC
